Triple
T8521523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air (Retina, 13-inch, 2020, Intel) |
E201702
|
entity |
| Predicate | numberOfThunderbolt3Ports |
P40915
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [MacBook Air (Retina, 13-inch, 2020, Intel), numberOfThunderbolt3Ports, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfThunderbolt3Ports Context triple: [MacBook Air (Retina, 13-inch, 2020, Intel), numberOfThunderbolt3Ports, 2]
-
A.
thunderboltPortsCount
chosen
Indicates the number of Thunderbolt ports that an entity has.
-
B.
supportsThunderbolt
Indicates that one entity provides compatibility with or the capability to use Thunderbolt technology for another entity.
-
C.
usbCPortsCount
Indicates the number of USB-C ports that an entity has.
-
D.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
E.
hasUSBDevicePortCount
Indicates the number of USB device ports that an entity possesses or supports.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe62a490481908ee0ad4ba9a94682 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.