Triple

T11060447
Position Surface form Disambiguated ID Type / Status
Subject Orhay E261492 entity
Predicate nearRiver P350 FINISHED
Object Balikh River E97716 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: Balikh River | Statement: [Orhay, nearRiver, Balikh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balikh River
Context triple: [Orhay, nearRiver, Balikh River]
  • A. Balikh River chosen
    The Balikh River is a major river in northern Syria that flows through the arid plains of Upper Mesopotamia before joining the Euphrates.
  • B. Khabur River
    The Khabur River is a major river in northeastern Syria that flows through the Jazira region and is historically significant as part of ancient Mesopotamia’s irrigation and settlement network.
  • C. Kunhar River
    The Kunhar River is a scenic mountain river in northern Pakistan that flows through the Kaghan Valley before joining the Jhelum River.
  • D. Zarqa River
    The Zarqa River is a major river in Jordan that flows through the country’s highlands and urban areas before joining the Jordan River.
  • E. Murghab River
    The Murghab River is a Central Asian river flowing through Afghanistan and Turkmenistan, historically vital for irrigation and the development of oasis settlements such as the city of Mary.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58ac418f08190b2936e8dbf9fb27d completed April 20, 2026, 2:09 a.m.
Created at: April 8, 2026, 9:26 p.m.