Triple
T3680578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Watch4 |
E78100
|
entity |
| Predicate | locationTechnology |
P35891
|
FINISHED |
| Object | GPS |
—
|
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: GPS | Statement: [Samsung Galaxy Watch4, locationTechnology, GPS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationTechnology Context triple: [Samsung Galaxy Watch4, locationTechnology, GPS]
-
A.
locationInSystem
Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
-
B.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
C.
hasNavigationTechnology
chosen
Indicates that an entity is equipped with or utilizes a system or technology for determining or guiding its position, route, or movement.
-
D.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
E.
trackingTechnology
Indicates that one entity uses or is associated with a technology designed to monitor, record, or follow the behavior, location, or interactions of another entity.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49153ec81909ff3a3df54416d0e |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.