Triple
T2436530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teesta River |
E52973
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Teesta Low Dam IV
Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
|
E269175
|
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: Teesta Low Dam IV | Statement: [Teesta River, hasDam, Teesta Low Dam IV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam IV Context triple: [Teesta River, hasDam, Teesta Low Dam IV]
-
A.
Teesta Low Dam III
Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
-
B.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
C.
Ralco Dam
Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
-
D.
Narayanpur Dam
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
-
E.
Rawal Dam
Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
- 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: Teesta Low Dam IV Triple: [Teesta River, hasDam, Teesta Low Dam IV]
Generated description
Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam IV Target entity description: Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
-
A.
Teesta Low Dam III
Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
-
B.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
C.
Ralco Dam
Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
-
D.
Narayanpur Dam
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
-
E.
Rawal Dam
Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9cd49b48190bff10a5ab7cef483 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ad31b8819084813b65b46bc9fc |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69af118dc6908190a3efb36fcabfe1b3 |
completed | March 9, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af11ecbb0c819099d3041be2935053 |
completed | March 9, 2026, 6:31 p.m. |
Created at: March 6, 2026, 9:43 p.m.