Triple
T3182446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogenakkal Falls |
E66620
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Mettur Dam |
E64962
|
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: Mettur Dam | Statement: [Hogenakkal Falls, nearbyAttraction, Mettur Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mettur Dam Context triple: [Hogenakkal Falls, nearbyAttraction, Mettur Dam]
-
A.
Mettur Dam
chosen
Mettur Dam is a major masonry dam in Tamil Nadu, India, built across the Kaveri River and known for its large reservoir and role in irrigation and power generation.
-
B.
Bhavanisagar Dam
Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
-
C.
Thippagondanahalli Dam
Thippagondanahalli Dam is a major reservoir and water supply structure near Bengaluru in Karnataka, India, built across the Arkavathi River to provide drinking water and irrigation.
-
D.
Hesaraghatta Dam
Hesaraghatta Dam is a man-made reservoir near Bengaluru in Karnataka, India, built to supply drinking water and support irrigation in the region.
-
E.
Malaprabha Dam
Malaprabha Dam is a major irrigation and water-supply dam 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e4cdd2c8190a4b09e968b9d39be |
completed | March 12, 2026, 9:58 a.m. |
Created at: March 8, 2026, 3:06 p.m.