Triple

T21975304
Position Surface form Disambiguated ID Type / Status
Subject Province of Bulacan E542689 entity
Predicate hasMunicipality P847 FINISHED
Object Guiguinto 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: Guiguinto | Statement: [Province of Bulacan, hasMunicipality, Guiguinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiguinto
Context triple: [Province of Bulacan, hasMunicipality, Guiguinto]
  • A. Guiguinto chosen
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • B. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • C. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • D. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • E. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12487a1a88190abb8a51fcd533b6a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.