Triple
T5396365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bréda plantation |
E120665
|
entity |
| Predicate | colonyContext |
P20114
|
FINISHED |
| Object | French colony of Saint-Domingue |
—
|
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 colony of Saint-Domingue | Statement: [Bréda plantation, colonyContext, French colony of Saint-Domingue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyContext Context triple: [Bréda plantation, colonyContext, French colony of Saint-Domingue]
-
A.
colonyOf
Indicates that one entity is a colony belonging to, founded by, or politically dependent on another entity.
-
B.
colonyStatus
chosen
Indicates the political or administrative condition of a territory in relation to a colonizing power, such as whether it is a colony, former colony, or non-colonial.
-
C.
colonyType
Indicates the specific classification or kind of colony associated with an entity (e.g., its organizational or structural type).
-
D.
colonyName
Indicates that a colony entity is associated with and identified by a specific name.
-
E.
colonyFoundation
Indicates the event or process by which a colony is established or founded in a particular place by a founding entity.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.