Triple
T9002099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVD |
E215060
|
entity |
| Predicate | diameterStandard |
P33679
|
FINISHED |
| Object | 120 mm |
—
|
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: 120 mm | Statement: [DVD, diameterStandard, 120 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diameterStandard Context triple: [DVD, diameterStandard, 120 mm]
-
A.
standardDiscDiameter
chosen
Indicates that one entity specifies the standard diameter measurement of a disc associated with another entity.
-
B.
typicalCaseDiameter
Indicates the usual or standard diameter value associated with an object or case in typical conditions.
-
C.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
-
D.
coreStageDiameter
Indicates the diameter measurement of the central or primary stage of an object or system.
-
E.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.