Triple

T4787393
Position Surface form Disambiguated ID Type / Status
Subject Ocumare del Tuy E106513 entity
Predicate partOf P40 FINISHED
Object Miranda state E527590 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: Miranda state | Statement: [Ocumare del Tuy, partOf, Miranda state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda state
Context triple: [Ocumare del Tuy, partOf, Miranda state]
  • A. Miranda state chosen
    Miranda state is a central Venezuelan state that includes part of the Caracas metropolitan area and is known for its economic importance and dense population.
  • B. Capiz
    Capiz is a province in the Western Visayas region of the Philippines, known for its coastal landscapes, seafood, and use of the Hiligaynon language.
  • C. Quirino Province
    Quirino Province is a landlocked province in the Cagayan Valley region of the Philippines known for its mountainous terrain, caves, and river systems.
  • D. Rizal province
    Rizal province is a landlocked province in the Calabarzon region of Luzon in the Philippines, known for its proximity to Metro Manila and its mix of suburban communities, industrial areas, and scenic highlands.
  • E. Negros Occidental
    Negros Occidental is a province in the Western Visayas region of the Philippines, known for its sugarcane industry, rich cultural heritage, and vibrant Hiligaynon-speaking population.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65da229c81909c703393f7b9b71d completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff4a84e5881908df112c3a405bbde completed March 22, 2026, 1:54 p.m.
Created at: March 20, 2026, 1:22 p.m.