Triple

T655237
Position Surface form Disambiguated ID Type / Status
Subject Sabrosa E11633 entity
Predicate locatedIn P40 FINISHED
Object Trás-os-Montes e Alto Douro E83196 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: Trás-os-Montes e Alto Douro | Statement: [Sabrosa, locatedIn, Trás-os-Montes e Alto Douro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trás-os-Montes e Alto Douro
Context triple: [Sabrosa, locatedIn, Trás-os-Montes e Alto Douro]
  • A. Alentejo
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
  • B. Évora District
    Évora District is an administrative region in southern Portugal known for its historic city of Évora, a UNESCO World Heritage site rich in Roman and medieval heritage.
  • C. Coimbra District
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • D. Vila Real District chosen
    Vila Real District is an administrative region in northern Portugal known for its mountainous landscapes and its role in the Douro wine-producing area.
  • E. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc95ec20819082117e90f032d381 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.