Triple
T2436529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teesta River |
E52973
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
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.
|
E265913
|
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 III | Statement: [Teesta River, hasDam, Teesta Low Dam III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam III Context triple: [Teesta River, hasDam, Teesta Low Dam III]
-
A.
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.
-
B.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
C.
Narayanpur Dam
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
-
D.
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.
-
E.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in 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: Teesta Low Dam III Triple: [Teesta River, hasDam, Teesta Low Dam III]
Generated description
Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam III Target entity description: Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
-
A.
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.
-
B.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
C.
Narayanpur Dam
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
-
D.
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.
-
E.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in 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_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_69aebf7085b88190938c4eefa4380970 |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec30189d081908bb6865937aff20d |
completed | March 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec39bb6a4819084652814e18f60d4 |
completed | March 9, 2026, 12:56 p.m. |
Created at: March 6, 2026, 9:43 p.m.