Triple

T21342372
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 135 E526228 entity
Predicate hasJunctionWith P1018 FINISHED
Object Route 126 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 126 | Statement: [Massachusetts Route 135, hasJunctionWith, Route 126]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 126
Context triple: [Massachusetts Route 135, hasJunctionWith, Route 126]
  • A. Route 126 chosen
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • B. Route 122
    Route 122 is a state highway in Maine that serves as a short connector route between the cities of Auburn and New Gloucester.
  • C. Route 125
    Route 125 is a state highway in northeastern Massachusetts that runs through several communities north of Boston, serving as a key regional connector.
  • D. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • E. Route 18
    Route 18 is a major state highway in central New Jersey that serves as a key north–south corridor connecting communities such as New Brunswick and Sayreville.
  • 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.