Triple

T4242271
Position Surface form Disambiguated ID Type / Status
Subject Sierra Madre E95440 entity
Predicate province P604 FINISHED
Object Cagayan E298919 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: Cagayan | Statement: [Sierra Madre, province, Cagayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cagayan
Context triple: [Sierra Madre, province, Cagayan]
  • A. Cagayan chosen
    Cagayan is a province in the northeastern part of the Philippines known for its agricultural lands, coastal areas, and role as a regional center in Luzon.
  • B. Cagayan River
    The Cagayan River is the longest and largest river in the Philippines, flowing through the northeastern part of Luzon and serving as a vital waterway for agriculture, transport, and fisheries.
  • C. Bicol River
    The Bicol River is a major river system in the Bicol Region of the Philippines, known for its extensive floodplain and importance to local agriculture and settlements.
  • D. Imus River
    Imus River is a river in the province of Cavite in the Philippines that flows through several municipalities before emptying into Manila Bay.
  • E. Cabanga
    Cabanga is a coastal neighborhood and marina district in Recife, Brazil, known for its nautical activities and proximity to the city’s central area.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a872fd6881908a3fbe37e7c35c92 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.