Triple

T7075953
Position Surface form Disambiguated ID Type / Status
Subject Itbayat language E164818 entity
Predicate spokenIn P2266 FINISHED
Object Itbayat municipality E597482 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: Itbayat municipality | Statement: [Itbayat language, spokenIn, Itbayat municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itbayat municipality
Context triple: [Itbayat language, spokenIn, Itbayat municipality]
  • A. Itbayat chosen
    Itbayat is a remote island municipality in the northernmost part of the Philippines, known for its rugged coastal cliffs, traditional stone houses, and preserved Ivatan culture.
  • B. Masbate City
    Masbate City is a coastal component city and the capital of Masbate Province in the Philippines, known as a commercial and administrative center in the Bicol Region.
  • C. Ilagan City
    Ilagan City is a component city in the province of Isabela in the Philippines, known as an agricultural and commercial hub in the Cagayan Valley region.
  • D. Legazpi City
    Legazpi City is a coastal city in the Philippines known as the regional center of the Bicol Region and famed for its views of the Mayon Volcano.
  • E. Meycauayan
    Meycauayan is a highly urbanized city in the Philippine province of Bulacan known for its jewelry and leather industries.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79468c7688190bf10433f05e77574 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.