Triple

T22730817
Position Surface form Disambiguated ID Type / Status
Subject Goenkale E562128 entity
Predicate locationOfFictionalSetting P20834 FINISHED
Object Arralde 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: Arralde | Statement: [Goenkale, locationOfFictionalSetting, Arralde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arralde
Context triple: [Goenkale, locationOfFictionalSetting, Arralde]
  • A. Arralde chosen
    Arralde is a fictional Basque town featured in the Spanish television series "Vis a Vis" (Locked Up).
  • B. Elorza
    Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
  • C. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • D. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • E. Aranguren
    Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.