Triple
T18214188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadtrat Bern |
E436109
|
entity |
| Predicate | meetsIn |
P40
|
FINISHED |
| Object | Rathaus Bern |
—
|
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: Rathaus Bern | Statement: [Stadtrat Bern, meetsIn, Rathaus Bern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rathaus Bern Context triple: [Stadtrat Bern, meetsIn, Rathaus Bern]
-
A.
Rathaus Bern
chosen
Rathaus Bern is the historic town hall of the city of Bern, Switzerland, serving as a central seat of local government and political administration.
-
B.
Basel Town Hall
Basel Town Hall is a historic Renaissance-style government building in Basel, Switzerland, serving as the seat of the canton’s political authorities.
-
C.
Stadthaus Zürich
Stadthaus Zürich is the historic city hall building in Zurich that serves as the central seat of the city’s political administration and government.
-
D.
Geneva City Hall
Geneva City Hall is the historic seat of the municipal government of Geneva, Switzerland, known for hosting important political meetings and international diplomatic events.
-
E.
Geneva City Hall
Geneva City Hall is the municipal government building serving the city of Geneva in Ontario County, New York.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e475953c81909f792793ded2057e |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.