Triple
T14347763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurométropole de Strasbourg |
E355770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oberhausbergen |
E1104977
|
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: Oberhausbergen | Statement: [Eurométropole de Strasbourg, contains, Oberhausbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberhausbergen Context triple: [Eurométropole de Strasbourg, contains, Oberhausbergen]
-
A.
Niederhausbergen
chosen
Niederhausbergen is a small commune in northeastern France, situated near the city of Strasbourg in the Grand Est region.
-
B.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
C.
Meinisberg
Meinisberg is a small municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
-
D.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
-
E.
Obergoms
Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8d081c8190ac805726a3e98f4c |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249ebd3c81908d8b562845d9ceb1 |
completed | May 8, 2026, 5:59 p.m. |
Created at: April 10, 2026, 1:14 a.m.