Triple

T20837205
Position Surface form Disambiguated ID Type / Status
Subject Nad Ali E512989 entity
Predicate administrativeCenterOf P383 FINISHED
Object Nad Ali District 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: Nad Ali District | Statement: [Nad Ali, administrativeCenterOf, Nad Ali District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nad Ali District
Context triple: [Nad Ali, administrativeCenterOf, Nad Ali District]
  • A. Nad Ali District chosen
    Nad Ali District is an administrative district in southern Afghanistan known for its agricultural landscape and strategic location within Helmand Province.
  • B. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • C. Rukha District
    Rukha District is an administrative district located within Afghanistan’s Panjshir Province, known for its mountainous terrain and strategic position in the Panjshir Valley region.
  • D. Mianwali District
    Mianwali District is an administrative region in northwestern Punjab, Pakistan, known for its diverse terrain that includes parts of the Salt Range and the Indus River basin.
  • E. Miyan Nasheen District
    Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.