Triple
T13680189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gers |
E327978
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tarn-et-Garonne |
E90794
|
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: Tarn-et-Garonne | Statement: [Gers, borderedBy, Tarn-et-Garonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarn-et-Garonne Context triple: [Gers, borderedBy, Tarn-et-Garonne]
-
A.
Tarn-et-Garonne
chosen
Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
-
B.
Haute-Garonne
Haute-Garonne is a department in southwestern France, known for its capital city Toulouse and its location spanning from the Pyrenees mountains to the Garonne River valley.
-
C.
Haute-Vienne
Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
-
D.
Lot-et-Garonne department
Lot-et-Garonne is a department in the Nouvelle-Aquitaine region of southwestern France, known for its agricultural landscapes, river valleys, and historic towns.
-
E.
Charente-Maritime
Charente-Maritime is a coastal department in southwestern France known for its Atlantic shoreline, islands, and maritime heritage.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7cfcf748190944ffea7582d4f66 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:53 p.m.