Triple

T656753
Position Surface form Disambiguated ID Type / Status
Subject Euphrates E11664 entity
Predicate hasDam P8736 FINISHED
Object Haditha Dam E87277 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: Haditha Dam | Statement: [Euphrates, hasDam, Haditha Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haditha Dam
Context triple: [Euphrates, hasDam, Haditha Dam]
  • A. Almatti Dam
    Almatti Dam is a major hydroelectric and irrigation dam in Karnataka, India, built across the Krishna River as part of the Upper Krishna Project.
  • B. Keban Dam chosen
    Keban Dam is a major hydroelectric and flood-control dam in eastern Turkey that forms one of the largest reservoirs on the Euphrates River.
  • C. Tabqa Dam
    Tabqa Dam is a major hydroelectric and irrigation dam on the Euphrates River in northern Syria, forming Lake Assad and playing a key role in the country’s water and power supply.
  • D. Itezhi-Tezhi Dam
    Itezhi-Tezhi Dam is a major hydroelectric and water-regulation dam in Zambia that helps control flows and generate power along the Kafue River system, a key tributary of the Zambezi.
  • E. Bargi Dam
    Bargi Dam is a major multipurpose dam built on the Narmada River in Madhya Pradesh, India, primarily used for irrigation, hydropower generation, and flood control.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4e87408190b5276d2b913d0426 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e331b148190aec0181dccbd5c62 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:36 p.m.