Triple

T5915754
Position Surface form Disambiguated ID Type / Status
Subject Central Mirandese E131575 entity
Predicate spokenIn P2266 FINISHED
Object Terra de Miranda E135371 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: Terra de Miranda | Statement: [Central Mirandese, spokenIn, Terra de Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terra de Miranda
Context triple: [Central Mirandese, spokenIn, Terra de Miranda]
  • A. Terra de Miranda chosen
    Terra de Miranda is a culturally distinct region in northeastern Portugal known for preserving the Mirandese language and unique local traditions.
  • B. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • C. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • D. The City of the Plains
    The City of the Plains is the motto of Abilene, Kansas, a historic Midwestern community known for its cattle town heritage and wide-open prairie landscape.
  • E. Los Ríos
    Los Ríos is an administrative region in southern Chile known for its rivers, lakes, and temperate rainforests.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bb538c8190acc514c2d49359f4 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1134e27388190ad90faed28d2d360 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:59 p.m.