Triple
T17403647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirchlindach |
E423157
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | city of 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: city of Bern | Statement: [Kirchlindach, locatedNear, city of Bern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Bern Context triple: [Kirchlindach, locatedNear, city of Bern]
-
A.
Bern, Switzerland
chosen
Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
-
B.
Berne
Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
-
C.
Biel/Bienne
Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
-
D.
Geneva and Lausanne
Geneva and Lausanne are two major Swiss cities on the shores of Lake Geneva, known respectively as a global diplomatic hub and a cultural and educational center.
-
E.
Stadt Winterthur
Stadt Winterthur is the municipal government of the Swiss city of Winterthur, responsible for local administration, public services, and cultural institutions.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.