Triple

T9167627
Position Surface form Disambiguated ID Type / Status
Subject County Route 537 E220000 entity
Predicate crosses P416 FINISHED
Object Route 34
Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
E785768 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 34 | Statement: [County Route 537, crosses, Route 34]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 34
Context triple: [County Route 537, crosses, Route 34]
  • A. Route 34
    Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
  • B. Route 35
    Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
  • C. Route 32
    Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
  • D. Route 30
    Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
  • E. Route 36
    Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
  • 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 34
Triple: [County Route 537, crosses, Route 34]
Generated description
Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Route 34
Target entity description: Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
  • A. Route 34
    Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
  • B. Route 35
    Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
  • C. Route 32
    Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
  • D. Route 30
    Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
  • E. Route 36
    Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065cd42f481909ad3c68372041b1a completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:22 p.m.