Triple
T1833878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kistna River |
E41019
|
entity |
| Predicate | dam |
P8736
|
FINISHED |
| Object | Almatti Dam |
E33538
|
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: Almatti Dam | Statement: [Kistna River, dam, Almatti Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almatti Dam Context triple: [Kistna River, dam, Almatti Dam]
-
A.
Almatti Dam
chosen
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.
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.
-
C.
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.
-
D.
Betania Dam
Betania Dam is a major hydroelectric dam and reservoir in Colombia, known for generating power and supporting irrigation and aquaculture in the Huila region.
-
E.
Jurala Dam
Jurala Dam is a major irrigation and hydroelectric project built across the Krishna River in Telangana, India.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb02540dc819081b19a09562139cd |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b4b4f08190a0e5ad50de5c0ba8 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:33 p.m.