Triple
T27734139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CaseInsensitiveHashCodeProvider |
E697492
|
entity |
| Predicate | defaultCulture |
P171435
|
FINISHED |
| Object | CurrentCulture |
—
|
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: CurrentCulture | Statement: [CaseInsensitiveHashCodeProvider, defaultCulture, CurrentCulture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultCulture Context triple: [CaseInsensitiveHashCodeProvider, defaultCulture, CurrentCulture]
-
A.
canonicalLanguage
Indicates that one entity is the officially recognized or standard language associated with another entity.
-
B.
primaryCulture
Indicates the main or dominant culture associated with an entity, typically in contrast to any secondary or additional cultures.
-
C.
usedCulture
Indicates that one entity employed, applied, or drew upon the cultural practices, norms, or artifacts associated with another entity.
-
D.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
-
E.
dominantLocalLanguage
Indicates that one language is the primary or most widely used language within a specific local area or community.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 27, 2026, 3:12 p.m.