Triple
T17519515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSON Schema |
E426648
|
entity |
| Predicate | introducedDialectMechanismIn |
P127760
|
FINISHED |
| Object | 2019-09 |
—
|
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: 2019-09 | Statement: [JSON Schema, introducedDialectMechanismIn, 2019-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedDialectMechanismIn Context triple: [JSON Schema, introducedDialectMechanismIn, 2019-09]
-
A.
hasDialects
Indicates that an entity (typically a language) possesses one or more distinct dialectal varieties.
-
B.
affectsDialect
Indicates that one entity influences or changes the dialect used or spoken by another entity.
-
C.
usesDialect
Indicates that one entity communicates or expresses itself using the specific dialect associated with another entity.
-
D.
associatedWithDialect
Indicates a relationship where something is linked or connected to a particular dialect, such as being characteristic of, derived from, or used within that dialect.
-
E.
hasDialectsIn
Indicates that a language or linguistic variety possesses distinct dialects that are used or found within a specified region or context.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.