Triple
T23085800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Sheffield Flood of 1864 |
E575593
|
entity |
| Predicate | volumeOfWaterReleased |
P13057
|
FINISHED |
| Object | >600000000 gallons |
—
|
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: >600000000 gallons | Statement: [Great Sheffield Flood of 1864, volumeOfWaterReleased, >600000000 gallons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeOfWaterReleased Context triple: [Great Sheffield Flood of 1864, volumeOfWaterReleased, >600000000 gallons]
-
A.
waterVolume
chosen
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
B.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
reservoirLiveStorageCapacity_m3
Indicates the volume of water that a reservoir can actively store and use, measured in cubic meters.
-
E.
floodPeakDischarge
Indicates the maximum rate of water flow occurring at the peak of a flood event in a river or channel.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.