Triple
T23471718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajaki Dam |
E570146
|
entity |
| Predicate | hasTurbine |
P32979
|
FINISHED |
| Object |
Unit 3
Unit 3 is a hydroelectric generating turbine unit at Afghanistan’s Kajaki Dam, contributing to the dam’s power production capacity.
|
E1589933
|
NE FINISHED |
How this triple was built (4 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: Unit 3 | Statement: [Kajaki Dam, hasTurbine, Unit 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unit 3 Context triple: [Kajaki Dam, hasTurbine, Unit 3]
-
A.
Unit 2
Unit 2 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, part of one of the world’s largest nuclear generating stations.
-
B.
Unit 2
Unit 2 is the second coal-fired generating unit of the Port Qasim Coal Power Project in Pakistan, contributing a significant share of the plant’s total electricity output.
-
C.
Unit 5
Unit 5 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, contributing to its electricity generation capacity.
-
D.
Unit 6
Unit 6 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, among the largest nuclear generating stations in the world.
-
E.
Unit 7
Unit 7 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, among the largest nuclear generating stations in the world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unit 3 Triple: [Kajaki Dam, hasTurbine, Unit 3]
Generated description
Unit 3 is a hydroelectric generating turbine unit at Afghanistan’s Kajaki Dam, contributing to the dam’s power production capacity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unit 3 Target entity description: Unit 3 is a hydroelectric generating turbine unit at Afghanistan’s Kajaki Dam, contributing to the dam’s power production capacity.
-
A.
Unit 2
Unit 2 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, part of one of the world’s largest nuclear generating stations.
-
B.
Unit 2
Unit 2 is the second coal-fired generating unit of the Port Qasim Coal Power Project in Pakistan, contributing a significant share of the plant’s total electricity output.
-
C.
Unit 5
Unit 5 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, contributing to its electricity generation capacity.
-
D.
Unit 6
Unit 6 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, among the largest nuclear generating stations in the world.
-
E.
Unit 7
Unit 7 is one of the nuclear reactor units at Japan's Kashiwazaki-Kariwa Nuclear Power Plant, among the largest nuclear generating stations in the world.
- F. None of above. chosen
Provenance (5 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a700bd0481908047aa4678217cbd |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c825dcbdc819090002d36ef823a2f |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:55 p.m.