Triple

T16688955
Position Surface form Disambiguated ID Type / Status
Subject Tua River E405541 entity
Predicate region P40 FINISHED
Object Trás-os-Montes NE NERFINISHED

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 | Statement: [Tua River, region, Trás-os-Montes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trás-os-Montes
Context triple: [Tua River, region, Trás-os-Montes]
  • A. Trás-os-Montes e Alto Douro chosen
    Trás-os-Montes e Alto Douro is a historical province in northeastern Portugal known for its rugged landscapes, traditional villages, and renowned wine-producing regions, including part of the Douro Valley.
  • B. Beira Interior
    Beira Interior is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and long-standing cultural and agricultural traditions.
  • C. Alentejo
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
  • D. Beira Baixa
    Beira Baixa is a historical region in central Portugal known for its rugged landscapes, traditional villages, and cultural heritage.
  • E. Alto Alentejo
    Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
Created at: April 10, 2026, 5:19 a.m.