Triple

T20025547
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate hasMunicipality P847 FINISHED
Object Villaba 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: Villaba | Statement: [Province of Leyte, hasMunicipality, Villaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villaba
Context triple: [Province of Leyte, hasMunicipality, Villaba]
  • A. Villaba chosen
    Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
  • B. Villabassa
    Villabassa is a picturesque village and popular tourist resort in South Tyrol, northern Italy, known for its Alpine scenery and access to the Dolomites.
  • C. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • D. Villalba
    Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
  • E. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.