Triple

T4652981
Position Surface form Disambiguated ID Type / Status
Subject Arborway E102339 entity
Predicate connectsTo P845 FINISHED
Object Morton Street
Morton Street is a roadway in Boston, Massachusetts, that serves as a key connector between several major urban thoroughfares and neighborhoods.
E763795 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: Morton Street | Statement: [Arborway, connectsTo, Morton Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Street
Context triple: [Arborway, connectsTo, Morton Street]
  • A. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • B. Butler Street
    Butler Street is a roadway located near Butler station, likely serving as one of the main access routes to the station and surrounding area.
  • C. Harrison Street
    Harrison Street is a major east–west thoroughfare in downtown Chicago, Illinois, running along the southern edge of the Loop and adjacent neighborhoods such as Printers Row.
  • D. Harrison Street
    Harrison Street is a roadway that serves as a key thoroughfare crossing the Harrison Street bridge.
  • E. Harrison Street
    Harrison Street is a major thoroughfare in Oakland, California, running through areas including the historic Chinatown neighborhood.
  • 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: Morton Street
Triple: [Arborway, connectsTo, Morton Street]
Generated description
Morton Street is a roadway in Boston, Massachusetts, that serves as a key connector between several major urban thoroughfares and neighborhoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morton Street
Target entity description: Morton Street is a roadway in Boston, Massachusetts, that serves as a key connector between several major urban thoroughfares and neighborhoods.
  • A. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • B. Butler Street
    Butler Street is a roadway located near Butler station, likely serving as one of the main access routes to the station and surrounding area.
  • C. Harrison Street
    Harrison Street is a major east–west thoroughfare in downtown Chicago, Illinois, running along the southern edge of the Loop and adjacent neighborhoods such as Printers Row.
  • D. Harrison Street
    Harrison Street is a roadway that serves as a key thoroughfare crossing the Harrison Street bridge.
  • E. Harrison Street
    Harrison Street is a major thoroughfare in Oakland, California, running through areas including the historic Chinatown neighborhood.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfaae99194819095cf9b74267956a4 completed April 3, 2026, 11:56 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 20, 2026, 1:14 p.m.