Triple

T21342371
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 135 E526228 entity
Predicate hasJunctionWith P1018 FINISHED
Object Route 27 NE NERFINISHED

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: [Massachusetts Route 135, hasJunctionWith, Route 27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 27
Context triple: [Massachusetts Route 135, hasJunctionWith, Route 27]
  • A. Route 27
    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 27 chosen
    Route 27 is a regional roadway in Massachusetts that serves as a key connector between several suburban communities west of Boston.
  • C. Route 23
    Route 23 is a major state highway in New Jersey that runs generally north–south, connecting suburban and rural communities to the New York metropolitan area.
  • D. Route 24
    Route 24 is a major highway in Massachusetts that provides regional north–south access through communities including Randolph.
  • E. Route 42
    Route 42 is a major highway in southern New Jersey that serves as a key connector between the Philadelphia area and shore destinations in Gloucester and neighboring counties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a850617081909bf5c1ecc84d55b1 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.