Triple
T20522457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern Bümpliz Nord railway station |
E503843
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bümpliz |
—
|
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: Bümpliz | Statement: [Bern Bümpliz Nord railway station, locatedIn, Bümpliz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bümpliz Context triple: [Bern Bümpliz Nord railway station, locatedIn, Bümpliz]
-
A.
Bümpliz
chosen
Bümpliz is a district of the Swiss city of Bern, known as a largely residential area with local industry and transport facilities.
-
B.
Zwiggelte
Zwiggelte is a small village in the Dutch province of Drenthe, known for its rural character and agricultural surroundings.
-
C.
Bummi
Bummi is a fictional female character who serves as the central protagonist in her story.
-
D.
Böllen
Böllen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
E.
Bumehen
Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f46488c819093687b4e07837793 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.