Triple
T5181280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Rivelin |
E116925
|
entity |
| Predicate | numberOfRecordedWaterwheels |
P62217
|
FINISHED |
| Object | 20+ |
—
|
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: 20+ | Statement: [River Rivelin, numberOfRecordedWaterwheels, 20+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRecordedWaterwheels Context triple: [River Rivelin, numberOfRecordedWaterwheels, 20+]
-
A.
numberOfHydroelectricStations
Indicates the quantity of hydroelectric power stations associated with a given entity.
-
B.
numberOfDams
Indicates the quantity of dams associated with or present in a given entity or context.
-
C.
numberOfAqueducts
Indicates the quantity of aqueducts associated with or present in a given entity or context.
-
D.
hasNumberOfPiersInWater
Indicates the quantity of piers that extend into or are situated within a body of water.
-
E.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799bc58c819098a8e91e21baaef4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79251b548190918a1eb930e24c22 |
completed | March 20, 2026, 4:43 p.m. |
Created at: March 20, 2026, 1:45 p.m.