Triple
T38677922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laser Vision |
E943807
|
entity |
| Predicate | physicalMediumShape |
P109283
|
FINISHED |
| Object | 12-inch optical disc |
—
|
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: 12-inch optical disc | Statement: [Laser Vision, physicalMediumShape, 12-inch optical disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalMediumShape Context triple: [Laser Vision, physicalMediumShape, 12-inch optical disc]
-
A.
deviceShape
Indicates that one entity has the physical form or geometric configuration specified by the other entity.
-
B.
hasPhysicalMedium
Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
-
C.
physicalMediumDependentSubtype
Indicates that one subtype or variation of something is specifically determined or constrained by the physical medium through which it exists or operates.
-
D.
physicalReleaseCharacteristic
Indicates a characteristic or property that describes some physical aspect or quality of a release (such as a product, media, or publication) in relation to that release.
-
E.
shapeType
chosen
Indicates the specific geometric form or category that characterizes an entity’s shape.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.