Triple

T11855991
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate hasMunicipality P847 FINISHED
Object Azor E376494 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: Azor | Statement: [Tel Aviv metropolitan area, hasMunicipality, Azor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azor
Context triple: [Tel Aviv metropolitan area, hasMunicipality, Azor]
  • A. Azor chosen
    Azor is a small suburban town in central Israel, located just southeast of Tel Aviv.
  • B. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • C. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • D. Aroroy
    Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
  • E. Baros
    Baros is a small luxury resort island in the North Malé Atoll of the Maldives, renowned for its overwater villas, clear lagoons, and romantic, upscale atmosphere.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281536c10819093dc1fd3203d41d8 completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.