Triple
T21298553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bregenz Forest Mountains |
E524992
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Bezau |
—
|
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: Bezau | Statement: [Bregenz Forest Mountains, hasSettlement, Bezau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezau Context triple: [Bregenz Forest Mountains, hasSettlement, Bezau]
-
A.
Bezau
chosen
Bezau is a municipality in the Austrian state of Vorarlberg, known for its alpine setting in the Bregenzerwald region and traditional wooden architecture.
-
B.
Booué
Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
-
C.
Beuson
Beuson is a small village that forms part of the municipality of Nendaz in the Swiss canton of Valais.
-
D.
Finnebach
Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
-
E.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.