Triple

T5774077
Position Surface form Disambiguated ID Type / Status
Subject Tejo E127395 entity
Predicate hasPortugueseName P23359 FINISHED
Object Rio Tejo E24137 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: Rio Tejo | Statement: [Tejo, hasPortugueseName, Rio Tejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Tejo
Context triple: [Tejo, hasPortugueseName, Rio Tejo]
  • A. Linha do Vouga
    Linha do Vouga is a narrow-gauge railway line in central Portugal known for its scenic route and historic rolling stock.
  • B. Zêzere River
    The Zêzere River is a major river in central Portugal known for its scenic valleys, hydroelectric dams, and role in feeding the Castelo de Bode Reservoir.
  • C. Tagus River chosen
    The Tagus River is the longest river on the Iberian Peninsula, flowing from central Spain through Portugal to the Atlantic Ocean.
  • D. Sever do Vouga
    Sever do Vouga is a municipality in central Portugal known for its natural landscapes, waterfalls, and rural tourism within the Aveiro District.
  • E. Miranda do Douro
    Miranda do Douro is a municipality in northeastern Portugal known for its distinct cultural identity, including the official regional use of the Mirandese language.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16ea7108190adb0756dac94c42c completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:50 p.m.