Triple

T2843209
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 3 E62517 entity
Predicate abbreviation P43 FINISHED
Object Route 3 E295196 NE FINISHED

How this triple was built (2 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 3 | Statement: [Massachusetts Route 3, abbreviation, Route 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 3
Context triple: [Massachusetts Route 3, abbreviation, Route 3]
  • A. Route 3 chosen
    Route 3 is a major east–west highway in northern New Jersey that connects the New Jersey Turnpike area to the Lincoln Tunnel approach into New York City.
  • B. 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.
  • C. Route 35
    Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
  • D. Route 34
    Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d570388190b4ed81ace605c6c3 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:01 p.m.