Triple

T19898782
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 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: [Cagayan Province, hasMunicipality, Iguig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iguig
Context triple: [Cagayan Province, hasMunicipality, 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. Ilawa
    Iława is a town in northern Poland’s Warmian-Masurian Voivodeship, known for its lakeside location on Jeziorak Lake and regional tourism.
  • E. Ilo
    Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.