Triple

T15723795
Position Surface form Disambiguated ID Type / Status
Subject Góis E381170 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: [Góis, locatedIn, Pinhal Interior Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinhal Interior Norte
Context triple: [Góis, 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. Espinhal
    Espinhal is a civil parish located in the municipality of Penela in central Portugal, known for its rural landscape and traditional Portuguese village character.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.