Triple
T5495691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil's Throat |
E144204
|
entity |
| Predicate | hasSoundLevel |
P32166
|
FINISHED |
| Object | very loud waterfall roar |
—
|
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: very loud waterfall roar | Statement: [Devil's Throat, hasSoundLevel, very loud waterfall roar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundLevel Context triple: [Devil's Throat, hasSoundLevel, very loud waterfall roar]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
noiseLevel
chosen
Indicates the intensity or amount of sound present in a given environment or from a specific source.
-
C.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
-
D.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
E.
soundHeardDistanceApproximate
Indicates that a sound was heard at an estimated, not precisely measured, distance from the listener or reference point.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f08c2a4819093e772a1497c7ecc |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.