Triple
T26530897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elastic |
E670816
|
entity |
| Predicate | featuresEnsembleType |
P187559
|
FINISHED |
| Object | trio |
—
|
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: trio | Statement: [Elastic, featuresEnsembleType, trio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEnsembleType Context triple: [Elastic, featuresEnsembleType, trio]
-
A.
typicalEnsembleType
Indicates the usual or characteristic type of ensemble associated with or used to perform a given work, piece, or musical context.
-
B.
typeOfEnsemble
Indicates the specific kind or category of ensemble that an entity belongs to or represents.
-
C.
featuresBackingEnsemble
Indicates that an entity includes or is accompanied by a backing ensemble supporting its primary performance or presentation.
-
D.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
E.
combinesFeaturesOf
Indicates that one entity integrates or merges characteristics, attributes, or functionalities originating from multiple other entities.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: April 27, 2026, 1:35 a.m.