Triple
T37661158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Note 4 |
E937719
|
entity |
| Predicate | supportsInfraredPort |
P100231
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Samsung Galaxy Note 4, supportsInfraredPort, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInfraredPort Context triple: [Samsung Galaxy Note 4, supportsInfraredPort, yes]
-
A.
supportsInfraredConnectivity
chosen
Indicates that one entity provides or enables infrared-based communication or data transfer capabilities for another entity.
-
B.
numberOfInfraredChannels
Indicates the count of distinct infrared channels associated with or supported by an entity.
-
C.
supportsPort
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
-
D.
hasInversionCapability
Indicates that an entity possesses the ability to reverse or invert another entity, state, or process.
-
E.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.