Triple

T5153317
Position Surface form Disambiguated ID Type / Status
Subject Bantayan Island E116248 entity
Predicate hasMunicipality P847 FINISHED
Object Madridejos E261530 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: Madridejos | Statement: [Bantayan Island, hasMunicipality, Madridejos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madridejos
Context triple: [Bantayan Island, hasMunicipality, Madridejos]
  • A. Madridejos chosen
    Madridejos is a coastal municipality located on Bantayan Island in the province of Cebu in the Philippines, known for its fishing industry and beaches.
  • B. Montijo
    Montijo is a municipality in Portugal’s Lisbon metropolitan area, located on the south bank of the Tagus River and linked to Lisbon by road and ferry connections.
  • C. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • D. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • E. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78dc329c8190808085c6b3e4241c completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed927ad5481909907c8a1764e9fd8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.