Triple
T21353794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche canton |
E526557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hottviller |
—
|
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: Hottviller | Statement: [Bitche canton, contains, Hottviller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hottviller Context triple: [Bitche canton, contains, Hottviller]
-
A.
Hottviller
chosen
Hottviller is a small commune in northeastern France, situated in the Moselle department within the historically contested region of Lorraine.
-
B.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
C.
Holterberg
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
-
D.
Herbesthal
Herbesthal is a village in eastern Belgium, historically known for its former international railway station near the German border.
-
E.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
- 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.