Triple

T16518075
Position Surface form Disambiguated ID Type / Status
Subject Bahrain road network E401236 entity
Predicate servesCity P82 FINISHED
Object Isa Town E99204 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: Isa Town | Statement: [Bahrain road network, servesCity, Isa Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isa Town
Context triple: [Bahrain road network, servesCity, 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 (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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7da2248190a540a5ef8686963d completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006086c0a881908976103f8a144f69 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.