Triple
T13704741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oculus Go |
E328609
|
entity |
| Predicate | strapType |
P70222
|
FINISHED |
| Object | elastic fabric head strap |
—
|
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: elastic fabric head strap | Statement: [Oculus Go, strapType, elastic fabric head strap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strapType Context triple: [Oculus Go, strapType, elastic fabric head strap]
-
A.
hasStrapType
chosen
Indicates that an item is associated with or equipped with a specific type or style of strap.
-
B.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
-
C.
beltType
Indicates the specific kind or category of belt associated with an entity.
-
D.
bandType
Indicates the specific kind or category of band that an entity belongs to or is associated with.
-
E.
strainType
Indicates the specific variety or subtype classification within a broader category of strains (e.g., biological, chemical, or product strains).
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.