Triple

T19089249
Position Surface form Disambiguated ID Type / Status
Subject Litueche E467236 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Litueche 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: Litueche | Statement: [Litueche, hasMunicipalSeat, Litueche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litueche
Context triple: [Litueche, hasMunicipalSeat, Litueche]
  • A. Litueche chosen
    Litueche is a rural commune and town in central Chile known for its agricultural activities and location near the Pacific coast in the O'Higgins Region.
  • B. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • C. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • D. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • E. Lazzara
    Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34981648190a89b006831846940 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.