Triple
T36564038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola C155 |
E901922
|
entity |
| Predicate | supportsSIMToolkit |
P204935
|
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: [Motorola C155, supportsSIMToolkit, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSIMToolkit Context triple: [Motorola C155, supportsSIMToolkit, yes]
-
A.
hasSIMType
Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
-
B.
supportsSIMInstruction
Indicates that one entity is capable of handling or executing a specified SIM (Subscriber Identity Module) instruction for another entity.
-
C.
hasSIMConfiguration
Indicates that an entity is associated with or assigned a specific SIM card configuration or setup.
-
D.
supportsGSM
Indicates that one entity provides compatibility with or operational support for GSM (Global System for Mobile communications) technology for another entity.
-
E.
supportsEsim
Indicates that one entity provides compatibility with, or the ability to use, an embedded SIM (eSIM) for another entity.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.