Triple
T21353806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche canton |
E526557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baerenthal |
—
|
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: Baerenthal | Statement: [Bitche canton, contains, Baerenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baerenthal Context triple: [Bitche canton, contains, Baerenthal]
-
A.
Baerenthal
chosen
Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
-
B.
Wechmar
Wechmar is a village in Thuringia, Germany, historically notable as the ancestral home of the Bach musical family.
-
C.
Hitzendorf
Hitzendorf is a municipality in the Austrian state of Styria, located near the city of Graz.
-
D.
Berchtoldt
Berchtoldt is a Germanic given name and surname, historically associated with medieval nobility and various notable figures in Central Europe.
-
E.
Frohnleiten
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bac9e1481909121e89f046c77f6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:05 p.m.