Triple
T16460387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyss |
E399789
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Worben |
E1035304
|
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: Worben | Statement: [Lyss, hasNeighboringMunicipality, Worben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worben Context triple: [Lyss, hasNeighboringMunicipality, Worben]
-
A.
Worben
chosen
Worben is a small municipality in the canton of Bern in Switzerland, located in the Seeland region near the city of Biel/Bienne.
-
B.
Wonfurt
Wonfurt is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
-
C.
Wieber
Wieber is the surname of American artistic gymnast Jordyn Wieber, a 2012 Olympic gold medalist and 2011 world all-around champion.
-
D.
Worner
Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
-
E.
Wossek
Wossek is a small town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of Hermann Kafka, father of writer Franz Kafka.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.