Triple
T17670990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mula Dam |
E440519
|
entity |
| Predicate | reservoirTotalCapacity_km3 |
P42409
|
FINISHED |
| Object | 0.736 |
—
|
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: 0.736 | Statement: [Mula Dam, reservoirTotalCapacity_km3, 0.736]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirTotalCapacity_km3 Context triple: [Mula Dam, reservoirTotalCapacity_km3, 0.736]
-
A.
reservoirTotalCapacity
chosen
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
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.
reservoirLiveStorageCapacity_m3
Indicates the volume of water that a reservoir can actively store and use, measured in cubic meters.
-
D.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
E.
nearestLargeReservoir
Indicates that one entity is the closest large reservoir in distance to the other entity.
- F. None of above.
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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f68a038819084828ff73bcf1fcc |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:59 a.m.