Triple

T16270127
Position Surface form Disambiguated ID Type / Status
Subject Médio Tejo Intermunicipal Community E394976 entity
Predicate containsMunicipality P852 FINISHED
Object Torres Novas 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: Torres Novas | Statement: [Médio Tejo Intermunicipal Community, containsMunicipality, Torres Novas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torres Novas
Context triple: [Médio Tejo Intermunicipal Community, containsMunicipality, Torres Novas]
  • A. Torres Novas chosen
    Torres Novas is a historic Portuguese city known for its medieval castle and location in the Santarém District of central Portugal.
  • B. Lamego
    Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
  • C. Carcavelos
    Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
  • D. Montalegre
    Montalegre is a town in northern Portugal known for its historic castle, traditional rural culture, and role as the seat of Montalegre Municipality in the Trás-os-Montes region.
  • E. Lourinhã
    Lourinhã is a coastal municipality in western Portugal known for its rich dinosaur fossil discoveries and scenic Atlantic beaches.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24608dd20819082f46a64af233038 completed April 17, 2026, 2:39 p.m.
Created at: April 10, 2026, 5:05 a.m.