Triple
T2630218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatr Mobile |
E59613
|
entity |
| Predicate | SIMFormFactor |
P9336
|
FINISHED |
| Object | triple-cut SIM |
—
|
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: triple-cut SIM | Statement: [Chatr Mobile, SIMFormFactor, triple-cut SIM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIMFormFactor Context triple: [Chatr Mobile, SIMFormFactor, triple-cut SIM]
-
A.
hasFormFactor
chosen
Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
-
B.
simType
Indicates that two entities share the same or a comparable type, category, or classification.
-
C.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
D.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
E.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.