Triple
T24685286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopi people |
E611266
|
entity |
| Predicate | timbilaFeature |
P157675
|
FINISHED |
| Object | tuned xylophones of different sizes |
—
|
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: tuned xylophones of different sizes | Statement: [Chopi people, timbilaFeature, tuned xylophones of different sizes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timbilaFeature Context triple: [Chopi people, timbilaFeature, tuned xylophones of different sizes]
-
A.
timbrality
Indicates the relationship between sounds or musical elements in terms of their tone color or quality, distinguishing how they differ or interact based on timbre.
-
B.
hasTimbrality
Indicates a relationship where one entity possesses or exhibits a particular quality or character of timbre (tone color or sound quality).
-
C.
targetFeature
Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
-
D.
tinai
Indicates a relationship where one entity is made of, composed of, or constituted by another entity.
-
E.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 3:17 a.m.