Triple
T3788568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Gorges Dam |
E89587
|
entity |
| Predicate | worldRankingByInstalledCapacity |
P38632
|
FINISHED |
| Object | one of the largest power stations in the world |
—
|
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 power stations in the world | Statement: [Three Gorges Dam, worldRankingByInstalledCapacity, one of the largest power stations in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRankingByInstalledCapacity Context triple: [Three Gorges Dam, worldRankingByInstalledCapacity, one of the largest power stations in the world]
-
A.
netElectricalCapacity_MWe
Indicates the relationship specifying an entity’s net electrical power generation capacity, measured in megawatts electric (MWe), after accounting for internal power consumption.
-
B.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
C.
capacityRankInWorld
chosen
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
D.
windFarmCapacity
Indicates the total power generation capacity of a wind farm, typically measured in units such as megawatts.
-
E.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:14 p.m.