Triple
T36573576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Vaucouleurs system of galaxy classification |
E902178
|
entity |
| Predicate | capturesFeature |
P100245
|
FINISHED |
| Object | inner rings |
—
|
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: inner rings | Statement: [de Vaucouleurs system of galaxy classification, capturesFeature, inner rings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesFeature Context triple: [de Vaucouleurs system of galaxy classification, capturesFeature, inner rings]
-
A.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
B.
recognizedFeature
chosen
Indicates that a particular feature has been identified and acknowledged as present or valid in relation to an entity or context.
-
C.
capsuleFeature
Indicates that something possesses a characteristic, attribute, or property specifically related to a capsule.
-
D.
trackFeature
Indicates that one entity monitors, records, or follows the behavior, state, or evolution of a particular feature associated with another entity.
-
E.
targetFeature
Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.