Triple
T9000292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony WM-DD9 |
E215022
|
entity |
| Predicate | mechanicalTransport |
P85612
|
FINISHED |
| Object | dual-capstan closed-loop |
—
|
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: dual-capstan closed-loop | Statement: [Sony WM-DD9, mechanicalTransport, dual-capstan closed-loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanicalTransport Context triple: [Sony WM-DD9, mechanicalTransport, dual-capstan closed-loop]
-
A.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
B.
cargoVehicle
Indicates a relationship where a vehicle is used or designated for transporting cargo or goods.
-
C.
isTransportationType
Indicates that one entity functions as a mode or category of transportation for the other entity.
-
D.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
-
E.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.