Triple
T35922902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Francis Dam disaster |
E1038932
|
entity |
| Predicate | flowVolumeReleased |
P78368
|
FINISHED |
| Object | approximately 12.4 billion gallons of water |
—
|
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: approximately 12.4 billion gallons of water | Statement: [St. Francis Dam disaster, flowVolumeReleased, approximately 12.4 billion gallons of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowVolumeReleased Context triple: [St. Francis Dam disaster, flowVolumeReleased, approximately 12.4 billion gallons of water]
-
A.
reservoirVolumeReleased
Indicates the amount of water discharged from a reservoir over a specified period or event.
-
B.
flowSpeed
Indicates the rate at which a fluid or medium moves through a given point or along a path over time.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
flowsDuring
Indicates that one process, event, or activity occurs within or throughout the time span of another.
-
E.
volumeSpilled
chosen
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.