Triple

T13067955
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Sur E329377 entity
Predicate hasCity P316 FINISHED
Object Candon E984118 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: Candon | Statement: [Ilocos Sur, hasCity, Candon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candon
Context triple: [Ilocos Sur, hasCity, Candon]
  • A. Candon chosen
    Candon is a component city in the province of Ilocos Sur in the Philippines, known for its tobacco industry and the famed "Candon Dwarf" mangoes.
  • B. Itogon
    Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
  • C. Menlale
    Menlale is an alternative name for Mount Foraker, a prominent peak in the Alaska Range and one of the highest mountains in North America.
  • D. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.