Triple
T17569115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Array (Swift) |
E427888
|
entity |
| Predicate | literalSyntax |
P38052
|
FINISHED |
| Object | [element1, element2, ...] |
—
|
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: [element1, element2, ...] | Statement: [Array (Swift), literalSyntax, [element1, element2, ...]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literalSyntax Context triple: [Array (Swift), literalSyntax, [element1, element2, ...]]
-
A.
hasLiteralMeaning
Indicates that one entity expresses the direct, explicit meaning or sense of another entity (such as a word, phrase, or symbol).
-
B.
definesSyntax
chosen
Indicates that one entity specifies or determines the formal structure, rules, or grammar by which another entity is expressed or interpreted.
-
C.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
D.
string
Indicates that there exists a textual sequence of characters associated with or assigned to an entity.
-
E.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.