Triple
T28938086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiluodu Dam |
E730370
|
entity |
| Predicate | rankByInstalledCapacity |
P31373
|
FINISHED |
| Object | one of the largest hydroelectric power stations in China |
—
|
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 hydroelectric power stations in China | Statement: [Xiluodu Dam, rankByInstalledCapacity, one of the largest hydroelectric power stations in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByInstalledCapacity Context triple: [Xiluodu Dam, rankByInstalledCapacity, one of the largest hydroelectric power stations in China]
-
A.
rankByCapacityInUS
Indicates the relative ordering of entities based on their capacity within the United States.
-
B.
rankBySize
Indicates that entities are ordered or compared based on their size.
-
C.
capacityRank
chosen
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
-
D.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
E.
rankByReserveHoldings
Indicates an ordering of entities based on the size or value of their reserve holdings, typically from highest to lowest.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65b809be4819081a3ae8def7bbdc1 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:34 a.m.