Triple
T6781595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kourou |
E155694
|
entity |
| Predicate | historicalUseNearbyIslands |
P72795
|
FINISHED |
| Object | former French penal colony |
—
|
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: former French penal colony | Statement: [Kourou, historicalUseNearbyIslands, former French penal colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalUseNearbyIslands Context triple: [Kourou, historicalUseNearbyIslands, former French penal colony]
-
A.
usedOnIslands
Indicates that something is utilized or applied specifically on islands.
-
B.
associatedIsland
Indicates that one entity is related to or connected with a particular island in some relevant way.
-
C.
neighboringIsland
Indicates that one island is geographically adjacent to or very close to another island, typically separated only by a narrow body of water.
-
D.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
-
E.
nearbyIslandConnection
Indicates a connection or link between islands that are geographically close to each other.
- 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_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. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.