Triple

T8573298
Position Surface form Disambiguated ID Type / Status
Subject Karaj E202981 entity
Predicate hasDam P8736 FINISHED
Object Karaj Dam E189004 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: Karaj Dam | Statement: [Karaj, hasDam, Karaj Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaj Dam
Context triple: [Karaj, hasDam, Karaj Dam]
  • A. Karaj Dam chosen
    Karaj Dam is a major Iranian concrete arch dam near the city of Karaj that provides water supply, irrigation, and hydroelectric power to the Tehran region.
  • B. Sefid-Rud Dam
    Sefid-Rud Dam is a major hydroelectric and irrigation dam in northern Iran that regulates the flow of the Sefid-Rud River and supports agriculture in the surrounding region.
  • C. Enguri Dam
    Enguri Dam is a massive arch dam in western Georgia, notable as one of the tallest concrete arch dams in the world and a key source of hydroelectric power for the region.
  • D. Aras Dam
    Aras Dam is a major hydroelectric and irrigation dam on the transboundary Aras River, playing a key role in water management and power generation in the region between Iran and the South Caucasus.
  • E. Shashe Dam
    Shashe Dam is a water reservoir structure built on the Shashe River, primarily used for water supply, irrigation, and regional resource management.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce898cf8648190b52758b6ecf2959b completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.