Triple

T12519106
Position Surface form Disambiguated ID Type / Status
Subject Kerċem E299267 entity
Predicate officialName P66 FINISHED
Object Kerċem E299267 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: Kerċem | Statement: [Kerċem, officialName, Kerċem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerċem
Context triple: [Kerċem, officialName, Kerċem]
  • A. Kerċem chosen
    Kerċem is a small village on the island of Gozo in Malta, known for its rural landscapes and traditional Maltese character.
  • B. Żejtun
    Żejtun is a historic town in southeastern Malta known for its traditional architecture, olive-growing heritage, and prominent parish church.
  • C. Żurrieq
    Żurrieq is a historic town in southern Malta known for its traditional architecture, parish church, and proximity to the Blue Grotto coastal area.
  • D. Mellieħa
    Mellieħa is a coastal town in northern Malta known for its sandy beaches, historic churches, and scenic views over Mellieħa Bay.
  • E. Siġġiewi
    Siġġiewi is a traditional Maltese town in the central part of Malta known for its rural character, historic churches, and proximity to the Dingli Cliffs.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545a2e188190bb92120df740003d completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbf43e08190ae79f92ed5882ce2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.