Triple
T30118868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple IIgs |
E765500
|
entity |
| Predicate | romVersion |
P168465
|
FINISHED |
| Object | ROM 00 |
—
|
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: ROM 00 | Statement: [Apple IIgs, romVersion, ROM 00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romVersion Context triple: [Apple IIgs, romVersion, ROM 00]
-
A.
versionOf
Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
-
B.
versionExample
Indicates that one entity serves as an example or illustrative instance of a particular version of another entity.
-
C.
exportVersionOf
Indicates that one entity is a version of another specifically created or designated for export (e.g., for external distribution or use).
-
D.
radioVersionName
Indicates the specific name or label assigned to a version of a radio-related item or system.
-
E.
versionComponent
Indicates that one entity is a component or segment of another entity’s version identifier (e.g., major, minor, or patch number).
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de8f6108190927e2d68b875d99b |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:12 p.m.