Triple
T24269467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Western European |
E605236
|
entity |
| Predicate | commonlyMisidentifiedAs |
P2289
|
FINISHED |
| Object | ISO-8859-1 |
—
|
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: ISO-8859-1 | Statement: [Windows Western European, commonlyMisidentifiedAs, ISO-8859-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyMisidentifiedAs Context triple: [Windows Western European, commonlyMisidentifiedAs, ISO-8859-1]
-
A.
misidentifiedAs
Indicates that one entity has been incorrectly recognized, labeled, or understood as another, distinct entity.
-
B.
commonlyIdentifiedWith
Indicates that two entities are widely regarded or treated as the same or equivalent, even if they are formally distinct.
-
C.
associatedWithMisidentificationOf
Indicates a relationship where one entity is connected to, or involved in, the incorrect identification or labeling of another entity.
-
D.
reasonForMisidentification
Indicates the explanation or cause behind why one entity was incorrectly identified as another.
-
E.
oftenConfusedWith
chosen
Indicates that one entity is frequently mistaken for or thought to be another due to similarity or ambiguity.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.