Triple
T28043864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukai Dam |
E708625
|
entity |
| Predicate | rankInGujaratByReservoirCapacity |
P173236
|
FINISHED |
| Object | one of the largest |
—
|
LITERAL 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: one of the largest | Statement: [Ukai Dam, rankInGujaratByReservoirCapacity, one of the largest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInGujaratByReservoirCapacity Context triple: [Ukai Dam, rankInGujaratByReservoirCapacity, one of the largest]
-
A.
rankInSouthAfricaByReservoirCapacity
Indicates the position of a reservoir in the ordered list of South African reservoirs when sorted by their storage capacity.
-
B.
reservoirGrossStorageCapacity_m3
Indicates the total volume of water a reservoir can hold when filled to its maximum designed storage level, measured in cubic meters.
-
C.
rankInSwedenByReservoirVolume
Indicates the position of an entity in an ordered list of entities in Sweden, sorted by the size of their reservoir volume.
-
D.
reservoirTotalCapacity
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
E.
reservoirLiveStorageCapacity_m3
Indicates the volume of water that a reservoir can actively store and use, measured in cubic meters.
- F. None of above. chosen
Provenance (4 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 8:27 p.m.