Triple

T12968913
Position Surface form Disambiguated ID Type / Status
Subject Żebbuġ, Malta E321341 entity
Predicate borderedBy P224 FINISHED
Object Marsa E882505 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: Marsa | Statement: [Żebbuġ, Malta, borderedBy, Marsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsa
Context triple: [Żebbuġ, Malta, borderedBy, Marsa]
  • A. Marsa chosen
    Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
  • B. Marsa al-Brega
    Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
  • C. La Marsa
    La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
  • D. Corisco
    Corisco is a small island in the Gulf of Guinea, off the coast of Equatorial Guinea, historically significant as a site of European—particularly Spanish—presence and regional trade.
  • E. Ammoudia
    Ammoudia is a small coastal village in northwestern Greece, known for its sandy beach and location at the mouth of the Acheron River.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.