Triple
T8952402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Macintosh Centris 650 |
E213384
|
entity |
| Predicate | hasOnboardEthernet |
P36407
|
FINISHED |
| Object | optional |
—
|
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: optional | Statement: [Apple Macintosh Centris 650, hasOnboardEthernet, optional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardEthernet Context triple: [Apple Macintosh Centris 650, hasOnboardEthernet, optional]
-
A.
hasOnboardComputer
Indicates that one entity is equipped with or contains an onboard computer system.
-
B.
hasOnboardSwitch
Indicates that one entity is equipped with a built-in switch located on or within it.
-
C.
hasOnboardFeature
chosen
Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
-
D.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
E.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670dc0c88190b1f59e96ad88e4ee |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.