Triple
T37659322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Ericsson W800 |
E937678
|
entity |
| Predicate | hasStereoHeadset |
P123005
|
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: [Sony Ericsson W800, hasStereoHeadset, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStereoHeadset Context triple: [Sony Ericsson W800, hasStereoHeadset, true]
-
A.
hasStereoOutput
Indicates that an entity provides or supports audio output in stereo (two-channel) format.
-
B.
stereoCapability
chosen
Indicates that an entity has the ability to produce, process, or support stereo (two-channel) audio.
-
C.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
D.
hasOculus
Indicates that one entity possesses or is equipped with an oculus (a circular opening or eye-like feature).
-
E.
stereoConfiguration
Indicates how multiple audio channels are arranged and related to each other in a stereo sound setup.
- 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_6a008ac37dc081908d360574912f40ec |
completed | May 10, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_6a008a67d73881909855ab4cfca3c399 |
completed | May 10, 2026, 1:38 p.m. |
Created at: May 3, 2026, 4:18 p.m.