Triple

T21413189
Position Surface form Disambiguated ID Type / Status
Subject Itawit-Tawit E528228 entity
Predicate isSpokenInMunicipality P46920 FINISHED
Object Iguig NE NERFINISHED

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: Iguig | Statement: [Itawit-Tawit, isSpokenInMunicipality, Iguig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iguig
Context triple: [Itawit-Tawit, isSpokenInMunicipality, Iguig]
  • A. Iguig chosen
    Iguig is a municipality in the province of Cagayan in the Philippines, known for its historic churches and scenic riverside landscapes.
  • B. Itawit
    Itawit is an Austronesian language spoken by the Itawit people primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • C. Iguala
    Iguala is a city in the Mexican state of Guerrero, historically significant as the birthplace of the Plan of Iguala that paved the way for Mexico’s independence.
  • D. Empang
    Empang is a town and administrative district located within Sumbawa Regency on the island of Sumbawa in Indonesia.
  • E. Ilawa
    Iława is a town in northern Poland’s Warmian-Masurian Voivodeship, known for its lakeside location on Jeziorak Lake and regional tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b20017d8819096b1a679edc8943a completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.