Triple

T3710139
Position Surface form Disambiguated ID Type / Status
Subject North County Transit District E80989 entity
Predicate hasJurisdiction P285 FINISHED
Object Del Mar, California E123564 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: Del Mar, California | Statement: [North County Transit District, hasJurisdiction, Del Mar, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Del Mar, California
Context triple: [North County Transit District, hasJurisdiction, Del Mar, California]
  • A. Del Mar chosen
    Del Mar is a coastal city in San Diego County, California, known for its beaches, upscale residential areas, and the Del Mar Fairgrounds and racetrack.
  • B. Dana Point, California
    Dana Point, California is a coastal city in southern Orange County known for its scenic harbor, beaches, and surfing.
  • C. Solana Beach
    Solana Beach is a small coastal city in Southern California known for its beaches, arts scene, and relaxed seaside atmosphere.
  • D. Oceanside
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc584b86c8190ba1a1073da440b07 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce052660819089ad899a20b8a720 completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.