Triple

T18846604
Position Surface form Disambiguated ID Type / Status
Subject Fort St Angelo E460932 entity
Predicate locatedOn P40 FINISHED
Object island of Malta 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: island of Malta | Statement: [Fort St Angelo, locatedOn, island of Malta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Malta
Context triple: [Fort St Angelo, locatedOn, island of Malta]
  • A. Malta
    Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
  • B. Malta
    Malta is a town in Saratoga County, New York, known for its mix of suburban communities, rural landscapes, and the high-tech Luther Forest Technology Campus.
  • C. Malta Island chosen
    Malta Island is the largest and most populous island of the Maltese archipelago in the central Mediterranean, known for its historic cities, fortifications, and cultural landmarks.
  • D. Żebbuġ, Malta
    Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing cultural and religious festivities.
  • E. Santa Luċija
    Santa Luċija is a small residential locality in the south of Malta, known for its quiet suburban character and proximity to the town of Paola.
  • 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.