Triple

T9821238
Position Surface form Disambiguated ID Type / Status
Subject Daikundi Province E238534 entity
Predicate hasDistrict P459 FINISHED
Object Khadir District E550755 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: Khadir District | Statement: [Daikundi Province, hasDistrict, Khadir District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khadir District
Context triple: [Daikundi Province, hasDistrict, Khadir District]
  • A. Khadir District chosen
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • B. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • C. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • D. Miyan Nasheen District
    Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
  • E. Nad Ali District
    Nad Ali District is an administrative district in southern Afghanistan known for its agricultural landscape and strategic location within Helmand Province.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22871bfe48190909467f07eda0118 completed April 5, 2026, 9:16 a.m.
Created at: March 30, 2026, 8:31 p.m.