Triple
T15616803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harangi River |
E375434
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Harangi Dam |
E65069
|
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: Harangi Dam | Statement: [Harangi River, hasDam, Harangi Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harangi Dam Context triple: [Harangi River, hasDam, Harangi Dam]
-
A.
Harangi Dam
chosen
Harangi Dam is a masonry dam built across the Harangi River, a tributary of the Kaveri, in Karnataka, India, primarily used for irrigation and water storage.
-
B.
Lodoyo Dam
Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
-
C.
Kallanai Dam
Kallanai Dam is an ancient stone masonry dam built across the Kaveri River in Tamil Nadu, India, renowned as one of the world’s oldest water-regulation structures still in use.
-
D.
Pubugou Dam
Pubugou Dam is a large hydroelectric gravity dam in Sichuan, China, known for its significant power generation capacity and its role in flood control and regional development along the Dadu River.
-
E.
Yonki Dam
Yonki Dam is a major hydroelectric dam in Papua New Guinea that supplies significant power to the country’s highlands region.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56dd1e4c819090bf3cd4425b39b7 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.