Triple

T16427865
Position Surface form Disambiguated ID Type / Status
Subject Keban E398990 entity
Predicate near P350 FINISHED
Object Keban 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: Keban Dam | Statement: [Keban, near, Keban Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keban Dam
Context triple: [Keban, near, Keban Dam]
  • A. 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.
  • B. Aslantaş Dam
    Aslantaş Dam is a major rock-fill embankment dam on the Ceyhan River in southern Turkey, primarily used for irrigation, flood control, and hydroelectric power generation.
  • C. 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.
  • D. Seyhan Dam
    Seyhan Dam is a major hydroelectric and irrigation dam in southern Turkey that forms the Seyhan Reservoir near the city of Adana.
  • E. Atatürk Dam
    Atatürk Dam is one of Turkey’s largest and most significant hydroelectric and irrigation dams, forming a key part of the Southeastern Anatolia Project on the Euphrates River.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679d15b08190b4e70e4337bff88d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:09 a.m.