Triple

T4636675
Position Surface form Disambiguated ID Type / Status
Subject Ibanag E101548 entity
Predicate spokenIn P2266 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: [Ibanag, spokenIn, Isabela Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabela Province
Context triple: [Ibanag, spokenIn, 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. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • D. Almeidas Province
    Almeidas Province is an administrative subdivision of the Cundinamarca Department in central Colombia, comprising several municipalities in the Andean highlands.
  • E. San Felipe Province
    San Felipe Province is an administrative division in Chile’s Valparaíso Region, known for its agricultural activity and as a key center in the country’s central valley.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.