Triple

T11242049
Position Surface form Disambiguated ID Type / Status
Subject Ḫarrānu E266094 entity
Predicate locatedNear P294 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: [Ḫarrānu, locatedNear, Balikh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balikh River
Context triple: [Ḫarrānu, locatedNear, 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603a1acc08190816db1ff13708e79 completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:30 p.m.