Triple

T10661880
Position Surface form Disambiguated ID Type / Status
Subject Uco Valley E251245 entity
Predicate subregion P747 FINISHED
Object San Carlos E110192 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 Carlos | Statement: [Uco Valley, subregion, San Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Carlos
Context triple: [Uco Valley, subregion, San Carlos]
  • A. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • B. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • C. San Carlos chosen
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • D. San Carlos
    San Carlos is a coastal component city in Negros Occidental, Philippines, known for its port, eco-tourism initiatives, and annual Pintaflores Festival.
  • E. San Félix
    San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e018d1e881909b8e62682104e842 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:08 p.m.