Triple

T12505002
Position Surface form Disambiguated ID Type / Status
Subject Yogad E298924 entity
Predicate primaryRegion P1103 FINISHED
Object Isabela province E430675 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: Isabela province | Statement: [Yogad, primaryRegion, Isabela province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabela province
Context triple: [Yogad, primaryRegion, Isabela province]
  • A. Isabela Province chosen
    Isabela Province is a largely agricultural province in the Cagayan Valley region of the Philippines, known for its vast rice and corn fields and significant role in the country’s grain production.
  • B. Isabel Province
    Isabel Province is a largely rural island province in the Solomon Islands, known for its mountainous terrain, traditional villages, and rich marine and forest biodiversity.
  • C. Santa Isabel Province
    Santa Isabel Province is an island province of the Solomon Islands in the southwestern Pacific Ocean, known for its indigenous cultures and tropical landscapes.
  • D. La Mar Province
    La Mar Province is an administrative province located in the Ayacucho Region of south-central Peru, known for its Andean geography and predominantly rural communities.
  • E. Aurora Province
    Aurora Province is a coastal province in Central Luzon, Philippines, known for its Pacific shoreline, surfing spots, and mountainous rainforest landscapes.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557243788190854208113600324e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.