Triple
T10094368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosapete |
E215824
|
entity |
| Predicate | hasNearbyDam |
P39585
|
FINISHED |
| Object | Tungabhadra Dam |
E239917
|
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: Tungabhadra Dam | Statement: [Hosapete, hasNearbyDam, Tungabhadra Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungabhadra Dam Context triple: [Hosapete, hasNearbyDam, Tungabhadra Dam]
-
A.
Tungabhadra Dam
chosen
Tungabhadra Dam is a major multipurpose masonry dam in Karnataka, India, known for irrigation, hydroelectric power generation, and flood control on the Tungabhadra River.
-
B.
Malaprabha Dam
Malaprabha Dam is a major irrigation and water-supply dam built across the Malaprabha River in Karnataka, India.
-
C.
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.
-
D.
Ghataprabha Dam
Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
-
E.
Bhavanisagar Dam
Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0784c288190967d143beca32c4b |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e591be44819094623fd11f6fccdb |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:01 p.m.