Triple

T10732111
Position Surface form Disambiguated ID Type / Status
Subject Attard E253097 entity
Predicate hasNeighbour P5707 FINISHED
Object Żebbuġ, Malta E321341 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: Żebbuġ, Malta | Statement: [Attard, hasNeighbour, Żebbuġ, Malta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Żebbuġ, Malta
Context triple: [Attard, hasNeighbour, Żebbuġ, Malta]
  • A. Żebbuġ, Malta chosen
    Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing cultural and religious festivities.
  • B. Paola, Malta
    Paola, Malta is a town in the south of Malta known for its significant archaeological sites, including prehistoric temples and ancient burial complexes.
  • C. Malta
    Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
  • D. 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.
  • E. Sliema
    Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7101f35888190b88662372a7d100d completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e58a8c67248190be284ddd84f9d8b8 completed April 20, 2026, 2:08 a.m.
Created at: April 8, 2026, 9:14 p.m.