Triple
T27756479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System Agent |
E701345
|
entity |
| Predicate | platformVersion |
P41828
|
FINISHED |
| Object | Windows 95 |
—
|
NE NERFINISHED |
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: Windows 95 | Statement: [System Agent, platformVersion, Windows 95]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformVersion Context triple: [System Agent, platformVersion, Windows 95]
-
A.
platformName
chosen
Indicates the name or identifier of the platform associated with the entity or action.
-
B.
platformBuiltAt
Indicates that a platform was constructed or established at a specific location or site.
-
C.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
D.
versionOf
Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
-
E.
defaultOSVersion
Indicates the operating system version that is used as the standard or fallback choice when no specific version is otherwise specified.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 4:23 p.m.