Triple
T35468843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teton Dam failure flooding |
E1025153
|
entity |
| Predicate | damHeightAtFailure |
P43545
|
FINISHED |
| Object | about 93 meters |
—
|
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: about 93 meters | Statement: [Teton Dam failure flooding, damHeightAtFailure, about 93 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damHeightAtFailure Context triple: [Teton Dam failure flooding, damHeightAtFailure, about 93 meters]
-
A.
damHeight
chosen
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
B.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
C.
designedFloodLevel
Indicates the flood level that a structure or system is specifically engineered to withstand or accommodate.
-
D.
dikeBreaches
Indicates that a dike fails or ruptures, allowing water to break through its barrier.
-
E.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.