Triple
T30350692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony WI-C310 |
E771980
|
entity |
| Predicate | hasMagneticEarbuds |
P200576
|
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: [Sony WI-C310, hasMagneticEarbuds, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagneticEarbuds Context triple: [Sony WI-C310, hasMagneticEarbuds, yes]
-
A.
hasBluetooth
Indicates that one entity is equipped with or supports Bluetooth connectivity.
-
B.
hasMagSafePort
Indicates that one entity is equipped with or includes a MagSafe charging or power connector port.
-
C.
supportsMagSafeAccessories
Indicates that one entity is compatible with and can properly connect to or work with MagSafe accessories designed for another entity.
-
D.
hasMagneticDualObject
Indicates that one object is the magnetic dual counterpart of another object in a physical or mathematical theory.
-
E.
supportsLightningEarPods
Indicates that one entity is compatible with and can be used with Lightning-connector EarPods.
- F. None of above. chosen
Provenance (4 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
| PDg | Predicate description generation | batch_69ff976281888190a2e872296fb4a661 |
completed | May 9, 2026, 8:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.