Triple

T16795680
Position Surface form Disambiguated ID Type / Status
Subject Igreja do Carmo (Faro) E408224 entity
Predicate locatedIn P40 FINISHED
Object Faro E84088 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: Faro | Statement: [Igreja do Carmo (Faro), locatedIn, Faro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro
Context triple: [Igreja do Carmo (Faro), locatedIn, Faro]
  • A. Faro chosen
    Faro is a historic coastal city in southern Portugal that serves as the capital of the Algarve region and a major gateway for tourism.
  • B. Hvalvík
    Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
  • C. Klaksvík
    Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
  • D. Æðuvík
    Æðuvík is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its scenic seaside setting and traditional Faroese character.
  • E. Havnor
    Havnor is the central island and political heart of Earthsea, home to its capital city and the seat of the Archipelago’s rulers in Ursula K. Le Guin’s fantasy series.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a96d888190a9876c3784bb7f95 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab109694819094c696904faf0418 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.