Triple

T15003458
Position Surface form Disambiguated ID Type / Status
Subject Pombal E374146 entity
Predicate hasNearbyCity P350 FINISHED
Object Ansião E374168 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: Ansião | Statement: [Pombal, hasNearbyCity, Ansião]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ansião
Context triple: [Pombal, hasNearbyCity, Ansião]
  • A. Ansião chosen
    Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
  • B. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • C. Amarante
    Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
  • D. Mogadouro
    Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
  • E. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.