Triple
T2036661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SE |
E44645
|
entity |
| Predicate | hasCaseSensitivity |
P9568
|
FINISHED |
| Object | uppercase recommended |
—
|
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: uppercase recommended | Statement: [SE, hasCaseSensitivity, uppercase recommended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaseSensitivity Context triple: [SE, hasCaseSensitivity, uppercase recommended]
-
A.
supportsCaseSensitiveFilenames
Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
-
B.
hasCaseInflection
Indicates that a word or phrase changes form to reflect grammatical case (such as nominative, accusative, etc.) in a given language context.
-
C.
caseSensitivityVariant
Indicates that one string or textual form is a variant of another that differs only in letter casing (e.g., uppercase vs lowercase).
-
D.
isCaseInsensitiveInStandard
chosen
Indicates that the comparison, matching, or evaluation of values is performed without distinguishing between uppercase and lowercase characters according to a defined standard.
-
E.
hasCase
Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9363b608190b42aa6d3f3fd78c4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.