Triple

T1548379
Position Surface form Disambiguated ID Type / Status
Subject Sibi E33029 entity
Predicate administrativeCenterOf P383 FINISHED
Object Sibi District E175840 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: Sibi District | Statement: [Sibi, administrativeCenterOf, Sibi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibi District
Context triple: [Sibi, administrativeCenterOf, Sibi District]
  • A. Sibi District chosen
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • B. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • C. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • D. Arun District
    Arun District is a local government district in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
  • E. Chitral District
    Chitral District is a mountainous region in northern Pakistan’s Khyber Pakhtunkhwa province, known for its ethnic and linguistic diversity, including several indigenous Indo-Iranian language communities.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401b98888190ad48fbfb6e075434 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.