Triple
T17851262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktgasse (Bern) |
E445810
|
entity |
| Predicate | nearbyLandmark |
P350
|
FINISHED |
| Object | Zytglogge |
E436090
|
NE FINISHED |
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: Zytglogge | Statement: [Marktgasse (Bern), nearbyLandmark, Zytglogge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zytglogge Context triple: [Marktgasse (Bern), nearbyLandmark, Zytglogge]
-
A.
Zytglogge
chosen
Zytglogge is a medieval clock tower and prominent historical landmark in Bern, Switzerland, known for its astronomical clock and ornate figurine displays.
-
B.
Zugerberg
Zugerberg is a scenic mountain and recreational area in the Swiss canton of Zug, known for its panoramic views over Lake Zug and the surrounding Alps.
-
C.
Burgäschi
Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
-
D.
Zollikofen
Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
-
E.
Ruetz
Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c5e368081908df3a20cd40aeb9f |
completed | May 12, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:17 a.m.