Triple
T37659383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Ericsson T68i |
E937679
|
entity |
| Predicate | hasOptionalAccessory |
P31021
|
FINISHED |
| Object | CommuniCam MCA-20 |
—
|
NE NERFINISHED |
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: CommuniCam MCA-20 | Statement: [Sony Ericsson T68i, hasOptionalAccessory, CommuniCam MCA-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOptionalAccessory Context triple: [Sony Ericsson T68i, hasOptionalAccessory, CommuniCam MCA-20]
-
A.
hasAccessoryType
Indicates that an entity is associated with or characterized by a particular type or category of accessory.
-
B.
accessory
chosen
Indicates that one entity serves as a supplementary or supporting item to another, often enhancing its function, use, or appearance.
-
C.
hasAccessoryRail
Indicates that an object is equipped with or includes an additional rail or mounting interface used to attach accessories.
-
D.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
E.
hasRetailOption
Indicates that one entity offers, includes, or is associated with a particular retail option (such as a sales channel, purchase method, or retail configuration) for 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:18 p.m.