Triple
T8836406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patois |
E210276
|
entity |
| Predicate | statusInSaintLucia |
P84923
|
FINISHED |
| Object | widely spoken vernacular |
—
|
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: widely spoken vernacular | Statement: [Patois, statusInSaintLucia, widely spoken vernacular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInSaintLucia Context triple: [Patois, statusInSaintLucia, widely spoken vernacular]
-
A.
statusInSintMaarten
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of Sint Maarten.
-
B.
heightRankInSaintLucia
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of Saint Lucia.
-
C.
statusInSuriname
Indicates the legal, social, or official standing or condition that an entity holds within the context of Suriname.
-
D.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
E.
statusInCNMI
Indicates the legal or official status that an entity holds within the Commonwealth of the Northern Mariana Islands (CNMI).
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:47 p.m.