Triple
T1729119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhima River |
E37568
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Kundali Dam
Kundali Dam is a water-retaining structure built on the Bhima River in India, primarily used for irrigation and regional water management.
|
E196464
|
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: Kundali Dam | Statement: [Bhima River, hasDam, Kundali Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kundali Dam Context triple: [Bhima River, hasDam, Kundali Dam]
-
A.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
-
B.
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.
-
C.
Priyadarshini Jurala Dam
Priyadarshini Jurala Dam is a major hydroelectric and irrigation dam built across the Krishna River in Telangana, India.
-
D.
Kabini Dam
Kabini Dam is a major reservoir and irrigation dam built across the Kabini River in Karnataka, India, supporting water supply, agriculture, and regional wildlife habitats.
-
E.
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.
- 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: Kundali Dam Triple: [Bhima River, hasDam, Kundali Dam]
Generated description
Kundali Dam is a water-retaining structure built on the Bhima River in India, primarily used for irrigation and regional water management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kundali Dam Target entity description: Kundali Dam is a water-retaining structure built on the Bhima River in India, primarily used for irrigation and regional water management.
-
A.
Bhima Dam
chosen
Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
-
B.
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.
-
C.
Priyadarshini Jurala Dam
Priyadarshini Jurala Dam is a major hydroelectric and irrigation dam built across the Krishna River in Telangana, India.
-
D.
Kabini Dam
Kabini Dam is a major reservoir and irrigation dam built across the Kabini River in Karnataka, India, supporting water supply, agriculture, and regional wildlife habitats.
-
E.
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.
- F. None of above.
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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637da7048190a06f2eec6cb87f70 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada980ec888190b78726012e50c905 |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adaab3b5008190ba5a07636fe3f2eb |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaea486d0819097357d881b70d114 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:30 p.m.