Triple
T24921868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamaican Standardized Orthography |
E618750
|
entity |
| Predicate | languageCodeTarget |
P5197
|
FINISHED |
| Object | Jamaican Creole language (ISO 639-3: jam) |
—
|
NE NERFINISHED |
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: Jamaican Creole language (ISO 639-3: jam) | Statement: [Jamaican Standardized Orthography, languageCodeTarget, Jamaican Creole language (ISO 639-3: jam)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCodeTarget Context triple: [Jamaican Standardized Orthography, languageCodeTarget, Jamaican Creole language (ISO 639-3: jam)]
-
A.
languageCodeISO639-2
chosen
Indicates that an entity is associated with a language identified by its ISO 639-2 three-letter code.
-
B.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
-
C.
languageCodeISO639-1
Indicates that the subject entity is associated with the specified two-letter ISO 639-1 language code.
-
D.
targetLanguage
Indicates the language that is the intended recipient or focus of a communication, translation, or linguistic operation.
-
E.
languageCodeRelation
Indicates a relationship where one entity is associated with, identified by, or mapped to a specific language code of 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 5:28 a.m.