Triple
T1934714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blu-ray Disc |
E41417
|
entity |
| Predicate | physicalMediumType |
P5765
|
FINISHED |
| Object | polycarbonate 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: polycarbonate disc | Statement: [Blu-ray Disc, physicalMediumType, polycarbonate disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalMediumType Context triple: [Blu-ray Disc, physicalMediumType, polycarbonate disc]
-
A.
physicalMediumDependentSubtype
Indicates that one subtype or variation of something is specifically determined or constrained by the physical medium through which it exists or operates.
-
B.
phonographicType
Indicates the specific kind or category of phonographic recording or medium associated with an entity.
-
C.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
D.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
E.
primaryMedium
chosen
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.