Triple

T22734557
Position Surface form Disambiguated ID Type / Status
Subject Oruzgan E562228 entity
Predicate borderedBy P224 FINISHED
Object Daikundi Province 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: Daikundi Province | Statement: [Oruzgan, borderedBy, Daikundi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daikundi Province
Context triple: [Oruzgan, borderedBy, Daikundi Province]
  • A. Daikundi Province chosen
    Daikundi Province is a central Afghan province known for its predominantly Hazara population, mountainous terrain, and relative isolation from major urban centers.
  • B. Khost Province
    Khost Province is an eastern Afghan province bordering Pakistan, known for its mountainous terrain, Pashtun population, and strategic military and trade significance.
  • C. Parwan Province
    Parwan Province is a central Afghan province north of Kabul, known for its strategic location along key transport routes and its mountainous terrain.
  • D. Bamyan Province
    Bamyan Province is a central Afghan region known for its predominantly Hazara population and its historic Buddhist heritage, including the former giant Buddha statues carved into its cliffs.
  • E. Nangarhar Province
    Nangarhar Province is an eastern Afghan province bordering Pakistan, known for its mountainous terrain, strategic border crossings, and role as a key battleground in the post-2001 conflict.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796f030881908e141564d442bd1b completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.