Triple
T27732737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.SByte |
E697467
|
entity |
| Predicate | isContextualKeyword_CSharp |
P95858
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [System.SByte, isContextualKeyword_CSharp, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContextualKeyword_CSharp Context triple: [System.SByte, isContextualKeyword_CSharp, false]
-
A.
hasSyntaxKeyword
chosen
Indicates that an element or construct is associated with, or marked by, a specific keyword in the syntax of a language or formal system.
-
B.
isKnownInContextOf
Indicates that an entity is recognized, relevant, or has significance specifically within a given context or domain.
-
C.
isKeyCharacterIn
Indicates that an entity plays a central or primary role as a main or significant character within another entity, such as a story, game, or narrative work.
-
D.
isPartOfExpression
Indicates that something functions as a component or constituent element within a larger expression.
-
E.
isIntroducedInContextOf
Indicates that one entity is presented, mentioned, or brought into consideration specifically within the scope, situation, or circumstances defined 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 3:12 p.m.