Triple

T10191109
Position Surface form Disambiguated ID Type / Status
Subject Northern Afghanistan E238035 entity
Predicate hasSubregion P285 FINISHED
Object Faryab Province E540592 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: Faryab Province | Statement: [Northern Afghanistan, hasSubregion, Faryab Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faryab Province
Context triple: [Northern Afghanistan, hasSubregion, 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 (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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7eb1148190a2d175163685e233 completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
Created at: March 30, 2026, 9:13 p.m.