Triple

T21316601
Position Surface form Disambiguated ID Type / Status
Subject Kabul Province E525488 entity
Predicate hasDistrict P459 FINISHED
Object Guldara District NE NERFINISHED

How this triple was built (3 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: Guldara District | Statement: [Kabul Province, hasDistrict, Guldara District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guldara District
Context triple: [Kabul Province, hasDistrict, Guldara District]
  • A. Garmsir District
    Garmsir District is a rural district in Helmand Province, southern Afghanistan, known for its agricultural communities along the Helmand River and its strategic significance in recent conflicts.
  • B. Ivdel District
    Ivdel District is an administrative district in Sverdlovsk Oblast, Russia, encompassing northern Ural settlements such as Sosva.
  • C. Lavasanat District
    Lavasanat District is an administrative subdivision in northern Tehran Province, Iran, known for its mountainous terrain, cooler climate, and role as a recreational and residential area near the capital.
  • D. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • E. Verden district
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guldara District
Target entity description: Guldara District is an administrative district in Afghanistan located within Kabul Province, known for its rural communities and mountainous terrain.
  • A. Garmsir District
    Garmsir District is a rural district in Helmand Province, southern Afghanistan, known for its agricultural communities along the Helmand River and its strategic significance in recent conflicts.
  • B. Ivdel District
    Ivdel District is an administrative district in Sverdlovsk Oblast, Russia, encompassing northern Ural settlements such as Sosva.
  • C. Lavasanat District
    Lavasanat District is an administrative subdivision in northern Tehran Province, Iran, known for its mountainous terrain, cooler climate, and role as a recreational and residential area near the capital.
  • D. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • E. Verden district
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • F. None of above. chosen

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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:30 p.m.