Triple

T7512810
Position Surface form Disambiguated ID Type / Status
Subject Route 440 E177561 entity
Predicate connectsTo P845 FINISHED
Object Route 27 E164302 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 27 | Statement: [Route 440, connectsTo, Route 27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 27
Context triple: [Route 440, connectsTo, Route 27]
  • A. Route 27 chosen
    Route 27 is a major north–south state highway in New Jersey that runs through several central and northern communities, serving as a key local and commuter route.
  • B. Route 24
    Route 24 is a major highway in Massachusetts that provides regional north–south access through communities including Randolph.
  • C. Route 25
    Route 25 is a state highway in southeastern Massachusetts that serves as a key connector between Interstate 495 and the Bourne Bridge to Cape Cod.
  • D. Route 29
    Route 29 is a state highway in New Jersey that runs along the Delaware River, connecting Trenton with surrounding communities and serving as a key regional transportation corridor.
  • E. 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.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d52b2c8190ba32b1575756fa7c completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856aed6c881909c909c01cbe01730 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:45 p.m.