Triple

T4221435
Position Surface form Disambiguated ID Type / Status
Subject Exchange Street (Portland, Maine) E94348 entity
Predicate partOf P40 FINISHED
Object Portland downtown street network
The Portland downtown street network is the interconnected grid of roads, lanes, and pedestrian routes that forms the core circulation system of Portland, Maine’s central business and waterfront district.
 E422333 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Portland downtown street network | Statement: [Exchange Street (Portland, Maine), partOf, Portland downtown street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Portland downtown street network
Context triple: [Exchange Street (Portland, Maine), partOf, Portland downtown street network]
  • A. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • B. Seattle downtown street network
    The Seattle downtown street network is the dense, gridded system of urban streets in central Seattle that organizes traffic, transit, and pedestrian movement through the city’s primary commercial and cultural core.
  • C. San Francisco street network
    The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
  • D. Boston street network
    The Boston street network is the complex, historically evolved system of roads and pathways in Boston, Massachusetts, known for its irregular layout, dense urban fabric, and mix of colonial-era streets and modern thoroughfares.
  • E. Toronto street network
    The Toronto street network is the interconnected system of roads, streets, and thoroughfares that structure transportation, navigation, and urban form throughout the city of Toronto.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Portland downtown street network
Triple: [Exchange Street (Portland, Maine), partOf, Portland downtown street network]
Generated description
The Portland downtown street network is the interconnected grid of roads, lanes, and pedestrian routes that forms the core circulation system of Portland, Maine’s central business and waterfront district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Portland downtown street network
Target entity description: The Portland downtown street network is the interconnected grid of roads, lanes, and pedestrian routes that forms the core circulation system of Portland, Maine’s central business and waterfront district.
  • A. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • B. Seattle downtown street network
    The Seattle downtown street network is the dense, gridded system of urban streets in central Seattle that organizes traffic, transit, and pedestrian movement through the city’s primary commercial and cultural core.
  • C. San Francisco street network
    The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
  • D. Boston street network
    The Boston street network is the complex, historically evolved system of roads and pathways in Boston, Massachusetts, known for its irregular layout, dense urban fabric, and mix of colonial-era streets and modern thoroughfares.
  • E. Toronto street network
    The Toronto street network is the interconnected system of roads, streets, and thoroughfares that structure transportation, navigation, and urban form throughout the city of Toronto.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963ffacc8190843b60ea1b224f91 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.