Triple
T10141685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idukki district |
E231596
|
entity |
| Predicate | hasNotableStructure |
P105
|
FINISHED |
| Object | Kulamavu Dam |
E844371
|
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: Kulamavu Dam | Statement: [Idukki district, hasNotableStructure, Kulamavu Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kulamavu Dam Context triple: [Idukki district, hasNotableStructure, Kulamavu Dam]
-
A.
Kulamavu Dam
chosen
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.
-
B.
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.
-
C.
Hidkal Dam
Hidkal Dam is a major irrigation and hydroelectric dam built across the Ghataprabha River in Karnataka, India.
-
D.
Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
-
E.
Mattupetty Dam
Mattupetty Dam is a scenic concrete storage dam and popular lakeside tourist spot near Munnar in Kerala, India, known for its tranquil reservoir, boating, and surrounding hill views.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3008e56a481908d64077851063dbf |
completed | April 6, 2026, 12:38 a.m. |
Created at: March 30, 2026, 9:07 p.m.