Triple
T6781623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Laurent-du-Maroni |
E155695
|
entity |
| Predicate | penalColonyFor |
P22043
|
FINISHED |
| Object | French convicts |
—
|
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 convicts | Statement: [Saint-Laurent-du-Maroni, penalColonyFor, French convicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penalColonyFor Context triple: [Saint-Laurent-du-Maroni, penalColonyFor, French convicts]
-
A.
deathPeninsula
Indicates a relationship where a death occurs on, near, or in association with a specific peninsula.
-
B.
usedForImprisoning
chosen
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
C.
placeOfConviction
Indicates the location where a person was formally convicted of a crime or offense.
-
D.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
E.
periodOfExile
Indicates a time span during which an entity is banished, expelled, or forced to live away from its native or rightful place.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26c621c8190a6eddc0d395e13e4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.