Triple
T28017075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marowijne |
E707573
|
entity |
| Predicate | languageVariantNameInFrench |
P194848
|
FINISHED |
| Object | Maroni |
—
|
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: Maroni | Statement: [Marowijne, languageVariantNameInFrench, Maroni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageVariantNameInFrench Context triple: [Marowijne, languageVariantNameInFrench, Maroni]
-
A.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
nameInFrench
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
D.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
E.
labelLanguageVariant
Indicates that one label is a language-specific variant or localized form of another label.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: April 27, 2026, 8:07 p.m.