Triple
T7867939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lal Bahadur Shastri Dam |
E182663
|
entity |
| Predicate | locatedUpstreamOf |
P5955
|
FINISHED |
| Object | Narayanpur Dam |
E235797
|
NE FINISHED |
How this triple was built (2 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: Narayanpur Dam | Statement: [Lal Bahadur Shastri Dam, locatedUpstreamOf, Narayanpur Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narayanpur Dam Context triple: [Lal Bahadur Shastri Dam, locatedUpstreamOf, Narayanpur Dam]
-
A.
Narayanpur Dam
chosen
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
-
B.
Bariyarpur Dam
Bariyarpur Dam is a river dam built on the Ken River in India, primarily used for irrigation and water management in the surrounding region.
-
C.
Bisalpur Dam
Bisalpur Dam is a major reservoir and water supply dam in Rajasthan, India, crucial for providing drinking water and irrigation to several nearby cities and regions.
-
D.
Bhushi Dam
Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
-
E.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3847c7fc819098e32b6548943da7 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdf6fb33881908cf7bd68915aa6b4 |
completed | March 31, 2026, 2:51 p.m. |
Created at: March 30, 2026, 4:55 p.m.