Triple
T27860795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnoyarsk hydroelectric power station |
E704221
|
entity |
| Predicate | reservoirLength_km |
P55261
|
FINISHED |
| Object | 388 |
—
|
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: 388 | Statement: [Krasnoyarsk hydroelectric power station, reservoirLength_km, 388]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirLength_km Context triple: [Krasnoyarsk hydroelectric power station, reservoirLength_km, 388]
-
A.
reservoirLength
chosen
Indicates the measured longitudinal extent of a reservoir from one end to the other.
-
B.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
C.
reservoirCountry
Indicates that a country contains or hosts the reservoir associated with the referenced entity.
-
D.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
E.
reservoirRiver
Indicates that a reservoir is supplied or drained by, and thus hydrologically connected to, a particular river.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:17 p.m.