Triple

T9460055
Position Surface form Disambiguated ID Type / Status
Subject Karun River E228120 entity
Predicate flowsThrough P225 FINISHED
Object Dezful region E553035 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: Dezful region | Statement: [Karun River, flowsThrough, Dezful region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dezful region
Context triple: [Karun River, flowsThrough, Dezful region]
  • A. Dezful chosen
    Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
  • B. Dooars region
    The Dooars region is a fertile, forested floodplain at the foothills of the eastern Himalayas in northeastern India, known for its tea gardens, rich biodiversity, and role as a gateway to Bhutan.
  • C. Tyre District
    Tyre District is an administrative district in southern Lebanon centered around the ancient coastal city of Tyre, known for its rich Phoenician heritage and Mediterranean shoreline.
  • D. Darbyshire
    Darbyshire is an English surname of likely toponymic origin, associated with individuals such as the architect and playwright Alfred Darbyshire.
  • E. Severnside
    Severnside is a regional fare zone in the west of England used for structuring rail ticketing and pricing around the Severn Estuary area.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122965aa48190bb35202b8dd0fdbd completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.