Triple
T7936103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VESA Local Bus |
E184291
|
entity |
| Predicate | slotLocation |
P79888
|
FINISHED |
| Object | inline with ISA slots on motherboard |
—
|
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: inline with ISA slots on motherboard | Statement: [VESA Local Bus, slotLocation, inline with ISA slots on motherboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slotLocation Context triple: [VESA Local Bus, slotLocation, inline with ISA slots on motherboard]
-
A.
plateLocation
Indicates the spatial position or placement of a plate relative to a reference location or object.
-
B.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
C.
seatLocatedAt
Indicates that a seat is positioned or situated at a specific location or place.
-
D.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
-
E.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aede3cc81908b0d3b54e68997b9 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.