Triple

T15776250
Position Surface form Disambiguated ID Type / Status
Subject San Onofre E382498 entity
Predicate locatedBetween P1262 FINISHED
Object San Clemente E413004 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: San Clemente | Statement: [San Onofre, locatedBetween, San Clemente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Clemente
Context triple: [San Onofre, locatedBetween, San Clemente]
  • A. San Clemente chosen
    San Clemente is a coastal city in southern Orange County, California, known for its Spanish Colonial-style architecture, scenic beaches, and popular surf spots.
  • B. San Clemente
    San Clemente is a small, rural municipality in the province of Tarlac in the Philippines, known for its agricultural landscape and quiet provincial character.
  • C. San Clemente
    San Clemente is a Chilean municipality and town located in the Maule Region, known for its agricultural activities and proximity to the Andes.
  • D. San Clemente
    San Clemente is a small Italian municipality in the Emilia-Romagna region, known for its historic hilltop setting and proximity to the Adriatic coast.
  • E. San Clemente
    San Clemente is a small municipality located in the Province of Cuenca in the autonomous community of Castilla-La Mancha, central Spain.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe469012481908fd9955c72e756a3 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:47 a.m.