Triple
T8820330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singing Ringing Tree |
E209887
|
entity |
| Predicate | soundMechanism |
P84801
|
FINISHED |
| Object | wind passing through pipes |
—
|
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: wind passing through pipes | Statement: [Singing Ringing Tree, soundMechanism, wind passing through pipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundMechanism Context triple: [Singing Ringing Tree, soundMechanism, wind passing through pipes]
-
A.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
B.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
C.
soundChip
Indicates that one entity functions as or contains the sound-processing chip used by another entity.
-
D.
soundCharacter
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
-
E.
soundCategory
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600fbbac8190ad36d93fff60a33f |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.