Triple
T30428629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Pro (2019) |
E774098
|
entity |
| Predicate | topIO |
P169424
|
FINISHED |
| Object | 2 Thunderbolt 3 ports |
—
|
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 Thunderbolt 3 ports | Statement: [Mac Pro (2019), topIO, 2 Thunderbolt 3 ports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topIO Context triple: [Mac Pro (2019), topIO, 2 Thunderbolt 3 ports]
-
A.
topLevel
Indicates that an entity occupies the highest or outermost level in a hierarchy, structure, or organizational arrangement, with no parent above it.
-
B.
top
Indicates that one entity is physically positioned above or on the uppermost surface of another entity.
-
C.
topForward
Indicates that one entity is positioned or oriented in front of and above another entity along a forward-facing direction.
-
D.
topStructure
Indicates that one structure occupies the highest or most superior position relative to other structures within a given system or hierarchy.
-
E.
topper
Indicates that one entity is the highest-ranking or best-performing among a set, often in a competitive or comparative context.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866aa9f88190b3e139fb374d6606 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:06 p.m.