Triple

T12221098
Position Surface form Disambiguated ID Type / Status
Subject SR 41 E291215 entity
Predicate servesCity P82 FINISHED
Object Lemoore, California E401267 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: Lemoore, California | Statement: [SR 41, servesCity, Lemoore, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lemoore, California
Context triple: [SR 41, servesCity, Lemoore, California]
  • A. Lemoore, California chosen
    Lemoore, California is a small city in the San Joaquin Valley best known for its agricultural surroundings and nearby Naval Air Station Lemoore.
  • B. Port Hueneme
    Port Hueneme is a small coastal city in Southern California known for its deep-water port and sandy beaches along the Pacific Ocean.
  • C. Placentia, California
    Placentia, California is a suburban city in northern Orange County known for its quiet residential neighborhoods and strong sense of community.
  • D. Marina, California
    Marina, California is a coastal city in Monterey County known for its beaches, dunes, and proximity to Monterey Bay.
  • E. Seaside, California
    Seaside, California is a coastal city on the Monterey Bay known for its proximity to Monterey and its role as a residential and educational hub on the central California coast.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa4f4388190a787dde12190c51a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.