Triple
T29265560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kréyol La Lwizyàn |
E741967
|
entity |
| Predicate | isMarkerOf |
P2130
|
FINISHED |
| Object | Louisiana Creole ethnic identity |
—
|
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: Louisiana Creole ethnic identity | Statement: [Kréyol La Lwizyàn, isMarkerOf, Louisiana Creole ethnic identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarkerOf Context triple: [Kréyol La Lwizyàn, isMarkerOf, Louisiana Creole ethnic identity]
-
A.
hasMarker
chosen
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
B.
isMarkedAccordingTo
Indicates that one entity bears marks, labels, or annotations that conform to the rules, standards, or criteria specified by another entity or reference.
-
C.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
D.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
E.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664df4a58819080ba470aae922b71 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:44 p.m.