Triple
T27626961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creoles of St. Louis |
E696233
|
entity |
| Predicate | countryDuringFormation |
P63781
|
FINISHED |
| Object | French Louisiana |
—
|
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: French Louisiana | Statement: [Creoles of St. Louis, countryDuringFormation, French Louisiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringFormation Context triple: [Creoles of St. Louis, countryDuringFormation, French Louisiana]
-
A.
countryFormedIn
Indicates that a country came into existence or was established during a specified time period or event.
-
B.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
-
C.
formationCountry
chosen
Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
-
D.
countryDuring
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
-
E.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 27, 2026, 2:18 p.m.