Triple
T30357454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Compact Cassette |
E772186
|
entity |
| Predicate | usesCassetteShellSimilarTo |
P185642
|
FINISHED |
| Object | Compact Cassette |
—
|
NE NERFINISHED |
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: Compact Cassette | Statement: [Digital Compact Cassette, usesCassetteShellSimilarTo, Compact Cassette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCassetteShellSimilarTo Context triple: [Digital Compact Cassette, usesCassetteShellSimilarTo, Compact Cassette]
-
A.
supportsCassette
Indicates that one entity is capable of holding, accommodating, or being compatible with a cassette.
-
B.
cassetteTypeSupported
Indicates that a given system, device, or component is compatible with and can operate using a specified cassette type.
-
C.
hasIntegratedCassetteDeck
Indicates that one object includes a built-in cassette deck as part of its overall unit or structure.
-
D.
cassetteWidth
Indicates the measurement of how wide a cassette is along its horizontal dimension.
-
E.
usesSameSystemAs
Indicates that two entities operate within or rely on the same underlying system, platform, or infrastructure.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: April 29, 2026, 7:57 p.m.