Triple

T18582417
Position Surface form Disambiguated ID Type / Status
Subject Fala E454147 entity
Predicate spokenIn P2266 FINISHED
Object northwestern Extremadura 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: northwestern Extremadura | Statement: [Fala, spokenIn, northwestern Extremadura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northwestern Extremadura
Context triple: [Fala, spokenIn, northwestern Extremadura]
  • A. Southern Extremaduran
    Southern Extremaduran is a regional variety of the Extremaduran language spoken in the southern part of the Extremadura region in western Spain.
  • B. Central Extremaduran
    Central Extremaduran is a primary regional variety of the Extremaduran language spoken in the central areas of Extremadura in western Spain.
  • C. Estremadura
    Estremadura is a historical coastal province in central Portugal that includes Lisbon and has long been a key political and cultural heartland of the country.
  • D. Extremadura chosen
    Extremadura is an autonomous community in western Spain known for its historic towns, rural landscapes, and role in the era of Spanish exploration and conquest.
  • E. Northeastern Spain
    Northeastern Spain is a geographic area of Spain that includes parts of Catalonia and neighboring regions along the Mediterranean coast and the Pyrenees.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d10b1c8190a401df810b7290c9 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.