Triple
T13951090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia N70 |
E335524
|
entity |
| Predicate | hasStereoHeadsetSupport |
P82801
|
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: [Nokia N70, hasStereoHeadsetSupport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStereoHeadsetSupport Context triple: [Nokia N70, hasStereoHeadsetSupport, yes]
-
A.
hasStereoOutput
chosen
Indicates that an entity provides or supports audio output in stereo (two-channel) format.
-
B.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
C.
supportsPCVRConnection
Indicates that an entity enables or is compatible with establishing a PC-based virtual reality (VR) connection.
-
D.
hasOculus
Indicates that one entity possesses or is equipped with an oculus (a circular opening or eye-like feature).
-
E.
supportsSpatialAudioWith
Indicates that one entity is compatible with and can provide or enable spatial audio functionality when used with 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.