Triple
T6918087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulak River |
E160113
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Irganai Dam |
E636202
|
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: Irganai Dam | Statement: [Sulak River, hasDam, Irganai Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irganai Dam Context triple: [Sulak River, hasDam, Irganai Dam]
-
A.
Irganai Dam
chosen
Irganai Dam is a major hydroelectric dam in Russia’s Dagestan region, known for its large installed capacity and role in supplying power to the North Caucasus.
-
B.
Zhinvali Dam
Zhinvali Dam is a large hydroelectric dam and reservoir in eastern Georgia, known for its striking turquoise waters and role in supplying water and power to the region.
-
C.
Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
-
D.
Markonahalli Dam
Markonahalli Dam is a historic irrigation and flood-control dam built across the Shimsha River in Karnataka, India.
-
E.
Baipaza Dam
Baipaza Dam is a major hydroelectric dam in Tajikistan that harnesses the Vakhsh River to generate power and support regional water 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e17ea08190b8c4142af8adfba0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a30c94fc8190b5994a7dc2b709c0 |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:26 p.m.