Triple

T17757838
Position Surface form Disambiguated ID Type / Status
Subject Beira (Portugal) E443290 entity
Predicate containsRiver P165 FINISHED
Object Dão River E418712 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: Dão River | Statement: [Beira (Portugal), containsRiver, Dão River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dão River
Context triple: [Beira (Portugal), containsRiver, Dão River]
  • A. Dão River chosen
    The Dão River is a river in central Portugal known for flowing through the Dão wine region before joining the Mondego River.
  • B. Tâmega River
    The Tâmega River is a significant river in the Iberian Peninsula that flows through northern Portugal and parts of Spain, contributing notably to the Douro River basin.
  • C. Sertã River
    The Sertã River is a watercourse in central Portugal that flows through the municipality of Sertã and contributes to the region’s local landscape and hydrology.
  • D. Rio Dão
    Rio Dão is the Portuguese name for the Dão River, a watercourse in central Portugal known for flowing through the Dão wine region.
  • E. Mondego River
    The Mondego River is the longest river located entirely in Portugal, flowing through central regions including the historic city of Coimbra before reaching the Atlantic Ocean.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841fe97881908f4df503fb781763 completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff5440308190b45a2a45cd150637 completed May 12, 2026, 10:22 a.m.
Created at: April 10, 2026, 10:10 a.m.