Triple

T17928666
Position Surface form Disambiguated ID Type / Status
Subject Paterna E448265 entity
Predicate demographicsRegion P2263 FINISHED
Object Horta Oest 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: Horta Oest | Statement: [Paterna, demographicsRegion, Horta Oest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horta Oest
Context triple: [Paterna, demographicsRegion, Horta Oest]
  • A. Horta Oest chosen
    Horta Oest is a district in the city of Valencia, Spain, known for encompassing several residential neighborhoods on the western side of the municipality.
  • B. Horta
    Horta is a Barcelona Metro station serving the Horta neighborhood in the city’s northeastern district.
  • C. Horta
    Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
  • D. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • E. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5505af88190aa7a5cfee0baa3a4 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.