Triple
T30144834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murchunga |
E766226
|
entity |
| Predicate | acoustic |
P124206
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Murchunga, acoustic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acoustic Context triple: [Murchunga, acoustic, true]
-
A.
isAcoustic
chosen
Indicates that something produces sound using natural resonance or mechanical vibration rather than electronic amplification or synthesis.
-
B.
acousticProperty
Indicates the relationship between an entity and its sound-related characteristics, such as loudness, pitch, timbre, or other acoustic features.
-
C.
hasAcousticUse
Indicates that something is used or functions in relation to sound or acoustics.
-
D.
hasAcousticsSuitableFor
Indicates that something possesses acoustic properties that are appropriate or well-suited for a particular use, activity, or environment.
-
E.
acousticalDesigner
Indicates a relationship where one entity serves as the acoustical designer responsible for planning or shaping the sound characteristics of another entity (such as a space, product, or performance).
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e8b21048190b0fbccb10b2d3523 |
completed | May 2, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:18 p.m.