Triple
T30315884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrueDepth camera system |
E771052
|
entity |
| Predicate | dataTypeCaptured |
P4241
|
FINISHED |
| Object | 2D image data |
—
|
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: 2D image data | Statement: [TrueDepth camera system, dataTypeCaptured, 2D image data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypeCaptured Context triple: [TrueDepth camera system, dataTypeCaptured, 2D image data]
-
A.
dataTypeCollected
chosen
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
B.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
C.
dataTypeTransmitted
Indicates that a specific type or format of data is being sent from one entity to another.
-
D.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
E.
dataTypeSearched
Indicates that a particular data type is the target or focus of a search operation.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68193b2b08190a00f08dbba490563 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:51 p.m.