Triple

T11603313
Position Surface form Disambiguated ID Type / Status
Subject San Ġwann E275186 entity
Predicate near P350 FINISHED
Object Birkirkara E52770 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: Birkirkara | Statement: [San Ġwann, near, Birkirkara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birkirkara
Context triple: [San Ġwann, near, Birkirkara]
  • A. Birkirkara chosen
    Birkirkara is a densely populated town in central Malta known as a major residential and commercial hub with historic churches and traditional Maltese architecture.
  • B. Balzan
    Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
  • 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. Ispica
    Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
  • E. Serrekunda
    Serrekunda is the largest city in The Gambia, serving as a major commercial and residential center near the Atlantic coast.
  • 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_69f67c5c80cc819099b0ad7a2911781c completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:38 p.m.