Triple

T12677202
Position Surface form Disambiguated ID Type / Status
Subject Linha do Minho E302846 entity
Predicate passesThrough P225 FINISHED
Object Valença E716725 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: Valença | Statement: [Linha do Minho, passesThrough, Valença]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valença
Context triple: [Linha do Minho, passesThrough, Valença]
  • A. Valença
    Valença is a historic municipality in the state of Rio de Janeiro, Brazil, known for its colonial heritage and role in the coffee-producing region of the Sul Fluminense.
  • B. Valença chosen
    Valença is a historic fortified city in northern Portugal, situated on the Minho River near the Spanish border and known for its well-preserved medieval walls and cross-border commerce.
  • C. Aglibacao
    Aglibacao is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
  • D. Salcete
    Salcete is a coastal taluka in the Indian state of Goa, known for its historic Catholic villages, beaches, and cultural blend of Portuguese and Konkani influences.
  • E. Anoia
    Anoia is a comarca (county) in central Catalonia, Spain, known for its mix of industrial towns and rural landscapes, with Igualada as its capital.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7722788190867cc8a27f678b4f completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:20 p.m.