Triple
T12682400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerzers |
E302978
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Kallnach
Kallnach is a municipality in the canton of Bern in Switzerland, located in the Seeland region.
|
E1043168
|
NE FINISHED |
How this triple was built (4 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: Kallnach | Statement: [Kerzers, hasNeighboringMunicipality, Kallnach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kallnach Context triple: [Kerzers, hasNeighboringMunicipality, Kallnach]
-
A.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
B.
Waldkirch
Waldkirch is a small historic town in southwestern Germany’s Black Forest region, known for its scenic surroundings and traditional organ-building industry.
-
C.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
D.
Niederlahnstein
Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
-
E.
Scheyern
Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kallnach Triple: [Kerzers, hasNeighboringMunicipality, Kallnach]
Generated description
Kallnach is a municipality in the canton of Bern in Switzerland, located in the Seeland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kallnach Target entity description: Kallnach is a municipality in the canton of Bern in Switzerland, located in the Seeland region.
-
A.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
B.
Waldkirch
Waldkirch is a small historic town in southwestern Germany’s Black Forest region, known for its scenic surroundings and traditional organ-building industry.
-
C.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
D.
Niederlahnstein
Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
-
E.
Scheyern
Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
- F. None of above. chosen
Provenance (5 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746077b288190b8ca7927352a7904 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f749d6ce888190b4a07462e9b8a40e |
completed | May 3, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a2fed2c8190b006575d88c01bdd |
completed | May 3, 2026, 1:14 p.m. |
Created at: April 9, 2026, 5:21 p.m.