Triple
T19480684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carcassonne Airport |
E487371
|
entity |
| Predicate | servesTourismTo |
P33155
|
FINISHED |
| Object | Cathar country |
—
|
NE NERFINISHED |
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: Cathar country | Statement: [Carcassonne Airport, servesTourismTo, Cathar country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathar country Context triple: [Carcassonne Airport, servesTourismTo, Cathar country]
-
A.
Occitania
chosen
Occitania is a historical and cultural region in southern Europe, mainly in southern France and parts of Italy and Spain, traditionally associated with the Occitan language and a distinct Romance cultural heritage.
-
B.
Laïty
Laïty is a personal given name, notably borne by the Senegalese footballer Laïty Kama.
-
C.
Contrée
Contrée is a surrealist poetry collection by French writer Robert Desnos, reflecting his dreamlike imagery and inventive use of language.
-
D.
Pays de Soubestre
Pays de Soubestre is a historic rural area in the Béarn region of southwestern France, known for its traditional agricultural landscape and small villages.
-
E.
Southern France
Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e634393b8081909f5e4c38b2f1a9b7 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.