Triple
T21094629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap-Français region |
E519728
|
entity |
| Predicate | hasMainEthnicGroups |
P65193
|
FINISHED |
| Object | French colonists |
—
|
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: French colonists | Statement: [Cap-Français region, hasMainEthnicGroups, French colonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEthnicGroups Context triple: [Cap-Français region, hasMainEthnicGroups, French colonists]
-
A.
dominantEthnicGroups
chosen
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
B.
ethnicGroupOfCountry
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
E.
ethnicGroupClassifiedAs
Indicates that an ethnic group is categorized or designated as belonging to a particular classification or type of ethnic grouping.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709517a18819081ede1d38e2c4391 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:52 p.m.