Triple
T17072733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmednagar district |
E414261
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Mula Dam |
E440519
|
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: Mula Dam | Statement: [Ahmednagar district, hasDam, Mula Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mula Dam Context triple: [Ahmednagar district, hasDam, Mula Dam]
-
A.
Mula Dam
chosen
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
-
B.
Murum Dam
Murum Dam is a major hydroelectric dam located in the interior of Sarawak, Malaysia, contributing significantly to the region’s power generation.
-
C.
Irganai Dam
Irganai Dam is a major hydroelectric dam in Russia’s Dagestan region, known for its large installed capacity and role in supplying power to the North Caucasus.
-
D.
Kulamavu Dam
Kulamavu Dam is a masonry gravity dam in Kerala, India, forming part of the Idukki Hydroelectric Project and helping create one of Asia’s largest arch dam reservoirs.
-
E.
Tilaiya Dam
Tilaiya Dam is a multipurpose masonry dam in Jharkhand, India, built as part of the Damodar Valley Corporation project to provide hydroelectric power, irrigation, and flood control.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc28fec81909c39d432094d9cdd |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c36b32c8190a365b7b80207978c |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:34 a.m.