Triple

T14679901
Position Surface form Disambiguated ID Type / Status
Subject State Route 37 (California) E344749 entity
Predicate alsoKnownAs P39 FINISHED
Object SR 37 E859844 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: SR 37 | Statement: [State Route 37 (California), alsoKnownAs, SR 37]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 37
Context triple: [State Route 37 (California), alsoKnownAs, SR 37]
  • A. SR 37 chosen
    SR 37 is a state highway in Northern California that runs along the northern edge of San Pablo Bay, connecting U.S. Route 101 in Marin County to Interstate 80 in Solano County.
  • B. SR 37
    SR 37 is a state highway in Ohio that runs east–west across the central part of the state, connecting several communities and intersecting multiple major routes.
  • C. SR 38
    SR 38 is a California state highway that runs through the San Bernardino Mountains, providing scenic access between the Inland Empire and the Big Bear Lake area.
  • D. SR 38
    SR 38 is a state highway in Georgia that runs east–west across the southern part of the state, connecting several cities and major routes.
  • E. SR 31
    SR 31 is a state highway in northeastern Washington that runs north–south from near the town of Metaline Falls to the Canadian border.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.