Triple

T16301646
Position Surface form Disambiguated ID Type / Status
Subject SR 91 E395803 entity
Predicate hasAbbreviation P43 FINISHED
Object SR 91 E395803 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 91 | Statement: [SR 91, hasAbbreviation, SR 91]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 91
Context triple: [SR 91, hasAbbreviation, SR 91]
  • A. SR 91 chosen
    SR 91 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • B. SR 95
    SR 95 is a north–south Arizona state highway that runs largely along the Colorado River, serving communities and recreational areas in western Arizona.
  • C. SR 92
    SR 92 is a major east–west state highway in California that includes the San Mateo–Hayward Bridge across San Francisco Bay, connecting the Peninsula with the East Bay.
  • D. SR 9
    SR 9 is a north–south state highway in Washington that runs through Snohomish and Skagit counties, serving as a parallel alternative to Interstate 5.
  • E. SR 9
    SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e32da7081908d8bd320374a5731 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ff9020819088f2146bdbfb2e2a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.