Triple

T6205905
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 17 E138744 entity
Predicate abbreviation P43 FINISHED
Object Route 17
Route 17 is a state highway designation in Massachusetts used for a specific segment of roadway within the state's numbered route system.
 E576161 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: Route 17 | Statement: [Massachusetts Route 17, abbreviation, Route 17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 17
Context triple: [Massachusetts Route 17, abbreviation, Route 17]
  • A. Route 17
    Route 17 is a major state highway in New York that serves as a key transportation corridor through the southern part of the state, connecting numerous towns and villages.
  • B. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • C. Route 15
    Route 15 is a major highway in New Brunswick, Canada, that serves as a key transportation corridor connecting the city of Moncton to surrounding regions.
  • D. Route 15
    Route 15 is a state highway designation used for a roadway in Massachusetts.
  • E. Route 11
    Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
  • 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: Route 17
Triple: [Massachusetts Route 17, abbreviation, Route 17]
Generated description
Route 17 is a state highway designation in Massachusetts used for a specific segment of roadway within the state's numbered route system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 17
Target entity description: Route 17 is a state highway designation in Massachusetts used for a specific segment of roadway within the state's numbered route system.
  • A. Route 17
    Route 17 is a major state highway in New York that serves as a key transportation corridor through the southern part of the state, connecting numerous towns and villages.
  • B. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • C. Route 15
    Route 15 is a major highway in New Brunswick, Canada, that serves as a key transportation corridor connecting the city of Moncton to surrounding regions.
  • D. Route 15
    Route 15 is a state highway designation used for a roadway in Massachusetts.
  • E. Route 11
    Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626f85748190a94448117a85fd78 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f47b04c81909bfe20305911f5f2 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1f5a1374481909117f2d8582ef195 completed March 24, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69c1f60573a481909440f2ba7ef01f79 completed March 24, 2026, 2:25 a.m.
Created at: March 22, 2026, 4:20 p.m.