Triple
T658134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh SE |
E11692
|
entity |
| Predicate | softwareCompatibility |
P13398
|
FINISHED |
| Object | classic Mac OS applications for 68000 |
—
|
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: classic Mac OS applications for 68000 | Statement: [Macintosh SE, softwareCompatibility, classic Mac OS applications for 68000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareCompatibility Context triple: [Macintosh SE, softwareCompatibility, classic Mac OS applications for 68000]
-
A.
compatibilityNote
Indicates that there is an explanatory note or comment about how well two entities are compatible or work together.
-
B.
notCompatibleWith
Indicates that two entities cannot function together properly or are unsuitable for joint use or interaction.
-
C.
requiresSoftware
Indicates that one entity depends on specific software being present or installed in order to function, operate, or be used.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
supportedSystem
chosen
Indicates that one entity provides compatibility, functionality, or operational support for another system.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69a49d121cec81909986c91291bb4ca8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.