Triple

T15028836
Position Surface form Disambiguated ID Type / Status
Subject Pedrógão Grande E378287 entity
Predicate locatedIn P40 FINISHED
Object Pinhal Interior Norte E1070255 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: Pinhal Interior Norte | Statement: [Pedrógão Grande, locatedIn, Pinhal Interior Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinhal Interior Norte
Context triple: [Pedrógão Grande, locatedIn, Pinhal Interior Norte]
  • A. Pinhal Interior Norte chosen
    Pinhal Interior Norte is a subregion in central Portugal known for its forested landscapes, small inland towns, and traditional rural economy.
  • B. Pinhal Interior Sul
    Pinhal Interior Sul is a sparsely populated inland subregion of central Portugal known for its forested landscapes, small towns, and traditional rural economy.
  • C. Pinhal Litoral
    Pinhal Litoral is a subregion in central Portugal known for its mix of coastal areas, industrial activity, and important urban centers such as Leiria.
  • D. Pinheiro
    Pinheiro is a Portuguese-language surname notably borne by acclaimed Brazilian actress Fernanda Montenegro.
  • E. Canudos do Vale
    Canudos do Vale is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd967588190821cf47e9734db21 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.