Triple

T13683085
Position Surface form Disambiguated ID Type / Status
Subject Bailén E328049 entity
Predicate hasNameInLanguage P15 FINISHED
Object Bailén@es E328049 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: Bailén@es | Statement: [Bailén, hasNameInLanguage, Bailén@es]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bailén@es
Context triple: [Bailén, hasNameInLanguage, Bailén@es]
  • A. Bailén, Jaén, Spain
    Bailén is a historic town in the province of Jaén in Andalusia, southern Spain, known for its olive oil production and as the site of the 1808 Battle of Bailén during the Peninsular War.
  • B. Bailén chosen
    Bailén is a town in the province of Jaén in Andalusia, Spain, historically known for the 1808 Battle of Bailén during the Peninsular War.
  • C. Abanca-Balaídos
    Abanca-Balaídos is a football stadium in Vigo, Spain, best known as the home ground of RC Celta de Vigo and a key venue for major Galician football clashes.
  • D. Beineix
    Beineix is the surname of French film director Jean-Jacques Beineix, known for visually stylish works like "Diva" and "Betty Blue."
  • E. Belbali
    Belbali is an alternative name for the Korandje language, a minority Zenati Berber language spoken in the oasis of Tabelbala in southwestern Algeria.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66e75188190a9e82fdc5eb26513 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944551b481909833cdcff198889c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.