Triple

T8508197
Position Surface form Disambiguated ID Type / Status
Subject Orange County Line E201387 entity
Predicate connectsCity P4245 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: [Orange County Line, connectsCity, San Clemente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Clemente
Context triple: [Orange County Line, connectsCity, San Clemente]
  • A. 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.
  • B. 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.
  • 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. Encinitas
    Encinitas is a coastal city in northern San Diego County, California, known for its beaches, surf culture, and relaxed Southern California lifestyle.
  • E. Carpinteria
    Carpinteria is a small coastal city in Southern California known for its beaches, laid-back atmosphere, and annual avocado festival.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5df74e8819086b1445cc907e371 completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d016c8b6f0819084d14fec00aad335 completed April 3, 2026, 7:36 p.m.
Created at: March 30, 2026, 6:15 p.m.