Triple

T20300134
Position Surface form Disambiguated ID Type / Status
Subject Greater Hazarajat E505455 entity
Predicate bordersRegion P224 FINISHED
Object Sar-e Pol region 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: Sar-e Pol region | Statement: [Greater Hazarajat, bordersRegion, Sar-e Pol region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sar-e Pol region
Context triple: [Greater Hazarajat, bordersRegion, Sar-e Pol region]
  • A. Sar-e Pol Province chosen
    Sar-e Pol Province is a northern Afghan province known for its ethnically diverse population, agriculture-based economy, and history of conflict and insecurity.
  • B. Larestan region
    Larestan region is a historical area in southern Iran known for its distinct Achomi-speaking communities and unique cultural traditions.
  • C. Dalir region
    The Dalir region is a rural area in western Iceland known for its scenic valleys, traditional farming communities, and historical ties to Icelandic sagas.
  • D. Kerman region
    The Kerman region is a historically significant and geographically diverse area in southeastern Iran, known for its deserts, mountains, and rich cultural heritage.
  • E. Faryab Province
    Faryab Province is a region in northern Afghanistan known for its ethnically diverse population, agricultural economy, and strategic location bordering Turkmenistan.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770b9484819090ffcb339f2a435a completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.