Triple

T4206022
Position Surface form Disambiguated ID Type / Status
Subject Susa E86185 entity
Predicate locatedOn P40 FINISHED
Object Karkheh River E230681 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: Karkheh River | Statement: [Susa, locatedOn, Karkheh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karkheh River
Context triple: [Susa, locatedOn, Karkheh River]
  • A. Karkheh River chosen
    The Karkheh River is a major waterway in western Iran that flows through the Khuzestan plain and supports extensive agriculture and settlements before emptying into the Mesopotamian lowlands.
  • B. Qom River
    The Qom River is a significant river in central Iran that flows through the city of Qom and contributes to the region’s agriculture and water supply.
  • C. Vakhsh River
    The Vakhsh River is a major river in Central Asia that flows through Tajikistan, forming a key part of the Amu Darya basin and supporting extensive hydroelectric power generation and irrigation.
  • D. Sefid-Rud
    Sefid-Rud is a major river in northern Iran that flows through the Alborz Mountains and into the Caspian Sea, playing a key role in regional agriculture and hydropower.
  • E. Zayandeh River
    The Zayandeh River is a major river in central Iran that flows through the city of Isfahan, historically supporting its agriculture, architecture, and famous bridges.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03844314819092639ed7d6ef2c6e completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6133e0b188190b459e1293d5cc2dc completed March 15, 2026, 2:02 a.m.
Created at: March 9, 2026, 3:49 p.m.