Triple
T6781809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prefect of French Guiana |
E155699
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Cayenne |
E161877
|
NE 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: Cayenne | Statement: [Prefect of French Guiana, seat, Cayenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cayenne Context triple: [Prefect of French Guiana, seat, Cayenne]
-
A.
Cayenne
chosen
Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
-
B.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
C.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
D.
Comerío
Comerío is a mountainous municipality in central Puerto Rico known for its scenic landscapes, coffee cultivation, and traditional festivals.
-
E.
Santarosa
Santarosa was an Italian nobleman and revolutionary best known for his support of Greek independence and his role among the Philhellenes in the Greek War of Independence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723c9b1cc81908f38f203acb86002 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:14 p.m.