Triple
T15058887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strasbourg Airport |
E379569
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bas-Rhin |
E20754
|
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: Bas-Rhin | Statement: [Strasbourg Airport, locatedIn, Bas-Rhin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bas-Rhin Context triple: [Strasbourg Airport, locatedIn, Bas-Rhin]
-
A.
Bas-Rhin
chosen
Bas-Rhin is a department in the Grand Est region of northeastern France, known for its border with Germany and its capital, the European institutional city of Strasbourg.
-
B.
Haut-Rhin
Haut-Rhin is a department in the Grand Est region of northeastern France, bordering Germany and Switzerland and known for its Alsatian culture and wine-producing villages.
-
C.
Meurthe-et-Moselle
Meurthe-et-Moselle is a department in northeastern France known for its capital Nancy, rich industrial history, and Art Nouveau architectural heritage.
-
D.
Pays de Bitche
Pays de Bitche is a rural, hilly region in northeastern France’s Moselle department, known for its fortified towns, forests, and location within the Northern Vosges.
-
E.
Alsace
Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7dd767c8190a129f00303f970bc |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:01 a.m.