Triple

T9213194
Position Surface form Disambiguated ID Type / Status
Subject Plasencia E221175 entity
Predicate locatedIn P40 FINISHED
Object Extremadura E42821 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: Extremadura | Statement: [Plasencia, locatedIn, Extremadura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extremadura
Context triple: [Plasencia, locatedIn, Extremadura]
  • A. 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.
  • B. 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.
  • C. Cantabria
    Cantabria is an autonomous community in northern Spain known for its rugged coastline along the Bay of Biscay, green mountainous landscapes, and prehistoric cave art such as that found in Altamira.
  • D. Asturias
    Asturias is an autonomous community in northwest Spain known for its rugged coastline, green mountains, cider culture, and well-preserved medieval and pre-Romanesque heritage.
  • E. Aragón
    Aragón is a Mexico City Metro station on Line 5 serving the northeastern area of the city near the Aragón district and its surrounding neighborhoods.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1a200288190a5545ca79bac017f completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:27 p.m.