Triple
T18443252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGC 7356 |
E450586
|
entity |
| Predicate | hasSmallPhysicalSize |
P41103
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [UGC 7356, hasSmallPhysicalSize, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallPhysicalSize Context triple: [UGC 7356, hasSmallPhysicalSize, true]
-
A.
isSmall
chosen
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
B.
hasMiniature
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
-
C.
isSmallScale
Indicates that the related activity, operation, or entity occurs on a limited or minor scale, involving relatively small size, scope, or capacity.
-
D.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
-
E.
miniaturizedBy
Indicates that an entity has been made smaller in size or scale by another entity or process.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c12a0248190a848a1fe833a1975 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.