Triple

T6221057
Position Surface form Disambiguated ID Type / Status
Subject Ghor Province E139113 entity
Predicate historicalRegion P915 FINISHED
Object Ghor E139113 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: Ghor | Statement: [Ghor Province, historicalRegion, Ghor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghor
Context triple: [Ghor Province, historicalRegion, Ghor]
  • A. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • B. Ghor Province chosen
    Ghor Province is a mountainous, centrally located region of Afghanistan known for its remote terrain, historical significance, and ethnically diverse population.
  • C. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • D. Afgooye
    Afgooye is a town in southern Somalia located near Mogadishu, known historically as an agricultural and trading center along the Shabelle River.
  • E. Sistan
    Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bcc2348190806ed8c98bdfbf3e completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dc349b481909ce369a82fa96412 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:22 p.m.