Triple
T23839543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronometer |
E590945
|
entity |
| Predicate | usesSoundMaterial |
P153830
|
FINISHED |
| Object | recorded clock sounds |
—
|
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: recorded clock sounds | Statement: [Chronometer, usesSoundMaterial, recorded clock sounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSoundMaterial Context triple: [Chronometer, usesSoundMaterial, recorded clock sounds]
-
A.
hasSoundboardMaterial
Indicates that one entity has a soundboard made of, or composed from, the material specified by another entity.
-
B.
usesSoundDevice
Indicates that one entity operates or relies on a sound-producing or sound-processing device in relation to another entity or context.
-
C.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
D.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
E.
usesTrackMaterial
Indicates that one entity employs or incorporates a specified track material in its construction, configuration, or operation.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c886aab081909ad896abe383afb9 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 8:08 p.m.