Triple
T16110108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Watch3 |
E390849
|
entity |
| Predicate | hasRotatingBezel |
P121511
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Samsung Galaxy Watch3, hasRotatingBezel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRotatingBezel Context triple: [Samsung Galaxy Watch3, hasRotatingBezel, true]
-
A.
hasRotation
Indicates that one entity is rotated with respect to another, or possesses a specific rotational orientation or motion.
-
B.
hasRotationFrequency
Indicates that one entity possesses or is characterized by a specific rate at which it rotates over time.
-
C.
isRotational
Indicates that one entity moves, transforms, or is oriented by rotating around a point, axis, or center relative to another.
-
D.
bezelFunction
Indicates the functional role or purpose that a bezel serves in relation to another object or system.
-
E.
rotatesWith
Indicates that two or more entities turn or spin together in a coordinated or mechanically linked manner, typically sharing the same rotational motion or axis.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016665c0819081aa7a44b1d08183 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.