Triple
T16431828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WATSON camera |
E399085
|
entity |
| Predicate | orientationCapability |
P21233
|
FINISHED |
| Object | mounted on movable robotic arm |
—
|
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: mounted on movable robotic arm | Statement: [WATSON camera, orientationCapability, mounted on movable robotic arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationCapability Context triple: [WATSON camera, orientationCapability, mounted on movable robotic arm]
-
A.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
B.
supportsConnectorOrientation
Indicates that one entity is capable of accommodating or functioning correctly with a specified orientation of a connector relative to another entity.
-
C.
gimbalCapability
chosen
Indicates the ability of a system or device to support and control a gimbal’s movement or stabilization functions.
-
D.
orientationException
Indicates an exception or deviation from the normal or expected orientation relationship between entities.
-
E.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9dffe48190a23852f828af55d8 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.