Triple

T18846654
Position Surface form Disambiguated ID Type / Status
Subject Fort St Angelo E460932 entity
Predicate locatedNear P294 FINISHED
Object Cospicua 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: Cospicua | Statement: [Fort St Angelo, locatedNear, Cospicua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cospicua
Context triple: [Fort St Angelo, locatedNear, Cospicua]
  • A. Cospicua chosen
    Cospicua is one of Malta’s historic Three Cities, a fortified harbor town known for its maritime heritage and baroque architecture along the Grand Harbour.
  • B. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • C. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • D. Sagarriga
    Sagarriga is a Catalan surname historically associated with medieval nobility and clerical figures in the Crown of Aragon.
  • E. Caieta
    Caieta is an ancient coastal town in Latium, Italy—modern Gaeta—known from Roman times as a notable harbor and resort.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8efafdc81909608b8a47deeaa8e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.