Triple
T13984152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubangi-Shari |
E336389
|
entity |
| Predicate | colonialCapitalFoundedBy |
P112044
|
FINISHED |
| Object | French authorities |
—
|
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 authorities | Statement: [Ubangi-Shari, colonialCapitalFoundedBy, French authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonialCapitalFoundedBy Context triple: [Ubangi-Shari, colonialCapitalFoundedBy, French authorities]
-
A.
regionOfColonyFounded
Indicates the geographic region in which a particular colony was originally founded.
-
B.
colonyFoundedBy
Indicates that a particular colony was established or created by a specific founding entity (such as a person, group, or organization).
-
C.
foundedAsColonyFor
Indicates that one entity was established as a colony specifically for the benefit, use, or purposes of another entity.
-
D.
colonyTypeFounded
Indicates the specific type or category of colony that was established in a founding event.
-
E.
foundedAsColonyOf
Indicates that an entity was originally established as a colony under the control or authority of another entity.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.