Triple
T21442493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CED |
E528970
|
entity |
| Predicate | discFeature |
P144360
|
FINISHED |
| Object | spiral groove |
—
|
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: spiral groove | Statement: [CED, discFeature, spiral groove]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discFeature Context triple: [CED, discFeature, spiral groove]
-
A.
disc
Indicates that one entity discourages, dissuades, or expresses disapproval toward another entity’s action, plan, or state.
-
B.
specialFeature
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
-
C.
displaysFeature
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
D.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
E.
discoveredFeature
Indicates that an entity has identified or uncovered a previously unknown or unrecognized feature of another entity or object.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7044a3881908a7fe26f26c92762 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:05 p.m.