Triple

T17422499
Position Surface form Disambiguated ID Type / Status
Subject Jowzjan Province E423650 entity
Predicate borderWith P224 FINISHED
Object Faryab 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: Faryab Province | Statement: [Jowzjan Province, borderWith, Faryab Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faryab Province
Context triple: [Jowzjan Province, borderWith, Faryab Province]
  • A. Faryab Province chosen
    Faryab Province is a region in northern Afghanistan known for its ethnically diverse population, agricultural economy, and strategic location bordering Turkmenistan.
  • B. Sar-e Pol Province
    Sar-e Pol Province is a northern Afghan province known for its ethnically diverse population, agriculture-based economy, and history of conflict and insecurity.
  • C. Golestan Province
    Golestan Province is a northeastern region of Iran known for its ethnic diversity, rich natural landscapes, and location along the Caspian Sea.
  • D. Daykundi Province
    Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
  • E. Chahar Province
    Chahar Province was a former province of northern China that historically encompassed parts of what are now Hebei and Inner Mongolia and served as a strategic frontier region.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44237f2cc819083ca0e7e00d828fb completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.