Triple

T18228951
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Island E436492 entity
Predicate hasCity P316 FINISHED
Object Isa Town NE NERFINISHED

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: Isa Town | Statement: [Bahrain Island, hasCity, Isa Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isa Town
Context triple: [Bahrain Island, hasCity, Isa Town]
  • A. Isa Town chosen
    Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
  • B. Gadap Town
    Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
  • C. Buvuma Town
    Buvuma Town is the main urban and administrative center located on Buvuma Island in Uganda’s Buvuma District.
  • D. Titi town
    Titi town is a small historic settlement in Jelebu District, Negeri Sembilan, Malaysia, known for its traditional charm and surrounding natural scenery.
  • E. Keamari Town
    Keamari Town is a coastal urban locality of Karachi, Pakistan, known for its historic port facilities and role as a key maritime and industrial hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b1b2108190a5585bbfaf2d295b completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.