Triple
T2413083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectacles |
E52238
|
entity |
| Predicate | thirdGenerationHasFeature |
P182
|
FINISHED |
| Object | dual HD cameras |
—
|
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 HD cameras | Statement: [Spectacles, thirdGenerationHasFeature, dual HD cameras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdGenerationHasFeature Context triple: [Spectacles, thirdGenerationHasFeature, dual HD cameras]
-
A.
thirdGenerationPlatform
Indicates that the subject is a third-generation instance or version within a sequence of related platforms.
-
B.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
C.
thirdGenerationStart
Indicates the point in time or event at which the third generation of a lineage, product line, or sequence begins.
-
D.
thirdGenerationEnd
Indicates that a third generation in a sequence, lineage, or process has reached its endpoint or conclusion.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.