Triple

T3608709
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Covilhã E337094 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: Covilhã | Statement: [Centro Region, containsCity, Covilhã]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Covilhã
Context triple: [Centro Region, containsCity, Covilhã]
  • A. Covilhã chosen
    Covilhã is a city in central Portugal, historically known for its textile industry and as a gateway to the Serra da Estrela mountain range.
  • B. São Gonçalo do Amarante
    São Gonçalo do Amarante is a Brazilian municipality in the state of Rio Grande do Norte, known for hosting the Greater Natal International Airport and forming part of the Natal metropolitan area.
  • C. São Gonçalo do Amarante
    São Gonçalo do Amarante is a municipality in the Brazilian state of Ceará, known for its coastal location and growing industrial and port-related activities.
  • D. Vila do Bispo
    Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
  • E. Portalegre
    Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faf8650481908eeb6333c5ba84e6 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:22 p.m.