Triple
T22585033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode normalization |
E564765
|
entity |
| Predicate | NFKCPreferredFor |
P148829
|
FINISHED |
| Object | identifier comparison in some contexts |
—
|
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: identifier comparison in some contexts | Statement: [Unicode normalization, NFKCPreferredFor, identifier comparison in some contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFKCPreferredFor Context triple: [Unicode normalization, NFKCPreferredFor, identifier comparison in some contexts]
-
A.
usesKatakanaFor
Indicates that one entity is written or represented using katakana script in relation to another entity.
-
B.
textTypePreferred
Indicates that one entity has a preferred or favored type or category of text in relation to another entity.
-
C.
dominantOrthographyFor
Indicates that one writing system or spelling convention is the primary or most widely used form for representing another language or script.
-
D.
hasContextualLetterForms
Indicates that the written form of a letter changes shape depending on its surrounding characters or position within a word.
-
E.
UnicodeStandardVersionIntroduced
Indicates the specific version of the Unicode Standard in which a given character, feature, or property was first introduced.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:45 p.m.