Triple
T717395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Lot |
E64829
|
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: Lot | Statement: [Occitanie, traversedByRiver, Lot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lot Context triple: [Occitanie, traversedByRiver, Lot]
-
A.
Lot
chosen
Lot is a river in southwestern France known for flowing through scenic valleys and historic towns before joining the Garonne.
-
B.
Lot
Lot is a department in southwestern France known for its picturesque river valleys, medieval villages, and prehistoric cave art.
-
C.
Land
Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
D.
Backlot
Backlot is a program at the Telluride Film Festival dedicated to films about cinema, featuring documentaries and works that explore filmmakers, film history, and the moviemaking process.
-
E.
Settle
Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63757e5848190b7c11820f67b20a7 |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.