Triple

T11603196
Position Surface form Disambiguated ID Type / Status
Subject Gżira E275183 entity
Predicate region P40 FINISHED
Object Central Malta E275176 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: Central Malta | Statement: [Gżira, region, Central Malta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Malta
Context triple: [Gżira, region, Central Malta]
  • A. Northern Region of Malta
    The Northern Region of Malta is an administrative area in the northern part of the Maltese Islands that includes popular tourist destinations, rural villages, and several smaller islands.
  • B. 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.
  • C. Valletta
    Valletta is a historic fortified port city on the island of Malta, renowned for its Baroque architecture and status as a UNESCO World Heritage Site.
  • 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. Central Region, Malta chosen
    Central Region, Malta is an administrative region in the central part of Malta that includes several major towns and urban areas such as Birkirkara.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954daa908190a8d532e43aa4a881 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08f811ff481908e2c14902a3361a2 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:38 p.m.