Triple

T20069536
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate hasMunicipality P847 FINISHED
Object Lopez 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: Lopez | Statement: [Province of Quezon, hasMunicipality, Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lopez
Context triple: [Province of Quezon, hasMunicipality, Lopez]
  • A. Lopez chosen
    Lopez is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and coastal location.
  • B. López
    López is a common Spanish surname widely borne across Spain and Latin America.
  • C. Vini Lopez
    Vini Lopez is an American drummer best known as an original member of Bruce Springsteen's E Street Band, contributing to the group's early recordings and live performances.
  • D. Danny Lopez
    Danny Lopez is a former American professional boxer and world featherweight champion known for his formidable punching power and exciting, aggressive style in the ring.
  • E. Geny Lopez
    Geny Lopez was a prominent Filipino media executive best known for leading and expanding ABS-CBN into the Philippines’ largest broadcasting network.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.