Triple
T16110130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Watch3 |
E390849
|
entity |
| Predicate | supportsECG |
P203
|
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, supportsECG, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsECG Context triple: [Samsung Galaxy Watch3, supportsECG, true]
-
A.
supportsECCMemory
Indicates that one entity provides compatibility with or the capability to use ECC (Error-Correcting Code) memory in relation to another entity.
-
B.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
-
C.
supportsInstrument
Indicates that one entity provides assistance, resources, or functionality that enables another entity (the instrument) to operate or be used effectively.
-
D.
notableSupportBaseCharacteristic
Indicates that a subject’s base of support is distinguished by a particular notable characteristic or quality.
-
E.
supportsFeature
chosen
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_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. |
Created at: April 10, 2026, 5 a.m.