Triple
T8814969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunchuk |
E209754
|
entity |
| Predicate | buttonPlacement |
P84763
|
FINISHED |
| Object | C and Z buttons on front grip |
—
|
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: C and Z buttons on front grip | Statement: [Nunchuk, buttonPlacement, C and Z buttons on front grip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buttonPlacement Context triple: [Nunchuk, buttonPlacement, C and Z buttons on front grip]
-
A.
ribbonPosition
Indicates the spatial or ordered placement of a ribbon relative to a reference object or coordinate system.
-
B.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
C.
batteryPlacement
Indicates the spatial or positional relationship specifying where a battery is located or installed relative to another object or system.
-
D.
buttonType
Indicates the specific category or style of a button within a user interface or control set.
-
E.
placementIn
Indicates that one entity is located or positioned within the spatial or structural bounds of another entity.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff1a4448190b5559f440d264442 |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:45 p.m.