Triple
T25405903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île Saint-Joseph |
E636553
|
entity |
| Predicate | penalColonyOf |
P94047
|
FINISHED |
| Object | French colonial administration in Guiana |
—
|
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 colonial administration in Guiana | Statement: [Île Saint-Joseph, penalColonyOf, French colonial administration in Guiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penalColonyOf Context triple: [Île Saint-Joseph, penalColonyOf, French colonial administration in Guiana]
-
A.
deathPeninsula
Indicates a relationship where a death occurs on, near, or in association with a specific peninsula.
-
B.
penalColonyClosedIn
Indicates that a penal colony ceased operations or was officially closed in a specified time or place.
-
C.
historicalPeriodOfPenalColony
Indicates the historical time period during which a given penal colony was in operation or existed.
-
D.
representedColony
Indicates that an entity acted as an official representative or delegate for a particular colony in some context or event.
-
E.
destinationColony
chosen
Indicates the colony that serves as the endpoint or target location to which something or someone is directed or sent.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5850091e88190a6fbb9b2c33f46ed |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:52 p.m.