Triple
T27734144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CaseInsensitiveHashCodeProvider |
E697492
|
entity |
| Predicate | comparisonIsCaseInsensitive |
P9568
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CaseInsensitiveHashCodeProvider, comparisonIsCaseInsensitive, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparisonIsCaseInsensitive Context triple: [CaseInsensitiveHashCodeProvider, comparisonIsCaseInsensitive, true]
-
A.
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.
-
B.
isCaseSensitiveInStandard
Indicates that the interpretation or comparison of the entity follows a standard in which letter case differences are treated as significant.
-
C.
hasCaseInflection
Indicates that a word or phrase changes form to reflect grammatical case (such as nominative, accusative, etc.) in a given language context.
-
D.
comparisonMethod
Indicates the method or criteria used to compare two or more entities or values.
-
E.
isComparisonSort
Indicates that the sorting algorithm operates by comparing pairs of elements to determine their order.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 3:12 p.m.