Triple
T5370285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figari–Sud Corse Airport |
E108830
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Sartène |
E445256
|
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: Sartène | Statement: [Figari–Sud Corse Airport, cityServed, Sartène]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sartène Context triple: [Figari–Sud Corse Airport, cityServed, Sartène]
-
A.
Sartène
chosen
Sartène is a historic hilltop town in southern Corsica, France, known for its medieval architecture, traditional Corsican culture, and dramatic views over the surrounding countryside.
-
B.
Cargèse
Cargèse is a coastal village on the west coast of Corsica, France, known for its Greek heritage, twin churches, and scenic Mediterranean setting.
-
C.
Cap Corse
Cap Corse is a narrow, mountainous peninsula forming the northern tip of the French island of Corsica, known for its rugged coastline, traditional villages, and scenic hiking routes.
-
D.
Porto-Vecchio
Porto-Vecchio is a popular seaside resort town in southern Corsica, France, known for its picturesque old port, historic citadel, and nearby white-sand beaches.
-
E.
Pézenas
Pézenas is a historic town in southern France’s Hérault department, known for its well-preserved medieval center and association with figures like Molière and the Prince de Conti.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a94acc48190a4c0ea39c6b8a405 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 2:02 p.m.