Triple
T2568083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Champion Clubs' Cup trophy |
E57597
|
entity |
| Predicate | shapeFeature |
P1464
|
FINISHED |
| Object | large handles |
—
|
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: large handles | Statement: [European Champion Clubs' Cup trophy, shapeFeature, large handles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeFeature Context triple: [European Champion Clubs' Cup trophy, shapeFeature, large handles]
-
A.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
C.
deformationFeatures
Indicates the presence or characteristics of structural changes or distortions (such as folds, faults, or warps) affecting an object or material.
-
D.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
-
E.
legCharacteristic
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd36191848190b6255fa9029429bd |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.