Triple
T27734137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CaseInsensitiveHashCodeProvider |
E697492
|
entity |
| Predicate | usesCultureInfo |
P174681
|
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, usesCultureInfo, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCultureInfo Context triple: [CaseInsensitiveHashCodeProvider, usesCultureInfo, true]
-
A.
sensitivityComparedToCulture
Indicates how the sensitivity of something (such as a test, method, or measurement) compares relative to that of a specified culture.
-
B.
usesCulture
Indicates that one entity employs, incorporates, or relies on the cultural practices, norms, or artifacts associated with another entity in its actions or functioning.
-
C.
usedCulture
Indicates that one entity employed, applied, or drew upon the cultural practices, norms, or artifacts associated with another entity.
-
D.
supportsCulture
Indicates that one entity actively promotes, sustains, or enhances the cultural practices, values, or expressions associated with another entity.
-
E.
localeType
Indicates the classification or category of a locale (such as region, city, or venue type) that characterizes the kind of place involved in the relationship.
- 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_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 27, 2026, 3:12 p.m.