Triple
T4853400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken River |
E108472
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Gangau Dam
Gangau Dam is a masonry dam built across the Ken River in Madhya Pradesh, India, primarily used for irrigation and water storage.
|
E475263
|
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: Gangau Dam | Statement: [Ken River, hasDam, Gangau Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangau Dam Context triple: [Ken River, hasDam, Gangau Dam]
-
A.
Wlingi Dam
Wlingi Dam is a hydroelectric and irrigation dam located on the Brantas River in East Java, Indonesia.
-
B.
Wayatinah Dam
Wayatinah Dam is a hydroelectric dam on Tasmania’s Derwent River that forms part of the state’s major power generation scheme.
-
C.
Mutirikwi Dam
Mutirikwi Dam is a major concrete arch dam in southeastern Zimbabwe that creates Lake Mutirikwi and serves as an important source of irrigation water and hydroelectric power.
-
D.
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.
-
E.
Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
- 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: Gangau Dam Triple: [Ken River, hasDam, Gangau Dam]
Generated description
Gangau Dam is a masonry dam built across the Ken River in Madhya Pradesh, India, primarily used for irrigation and water storage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangau Dam Target entity description: Gangau Dam is a masonry dam built across the Ken River in Madhya Pradesh, India, primarily used for irrigation and water storage.
-
A.
Wlingi Dam
Wlingi Dam is a hydroelectric and irrigation dam located on the Brantas River in East Java, Indonesia.
-
B.
Wayatinah Dam
Wayatinah Dam is a hydroelectric dam on Tasmania’s Derwent River that forms part of the state’s major power generation scheme.
-
C.
Mutirikwi Dam
Mutirikwi Dam is a major concrete arch dam in southeastern Zimbabwe that creates Lake Mutirikwi and serves as an important source of irrigation water and hydroelectric power.
-
D.
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.
-
E.
Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3b00fc81909bdb95eb9648c907 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce33db08190b44b5b0c21d2b850 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5f6142648190bec124c9c3933cc3 |
completed | March 21, 2026, 9:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5ffeaff481908e2e80ddc82ac6f6 |
completed | March 21, 2026, 9:08 a.m. |
Created at: March 20, 2026, 1:26 p.m.