Triple
T18213904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasle bei Burgdorf |
E436101
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Oberburg
Oberburg is a municipality in the Emmental administrative district of the canton of Bern in Switzerland.
|
E1333872
|
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: Oberburg | Statement: [Hasle bei Burgdorf, hasNeighboringMunicipality, Oberburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberburg Context triple: [Hasle bei Burgdorf, hasNeighboringMunicipality, Oberburg]
-
A.
Obernbreit
Obernbreit is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural Franconian character and wine-growing traditions.
-
B.
Oberaudorf
Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
-
C.
Oberhöchstadt
Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
-
D.
Oberdrauburg
Oberdrauburg is a market town in the Austrian state of Carinthia, situated in the upper Drava Valley near the border with East Tyrol.
-
E.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
- 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: Oberburg Triple: [Hasle bei Burgdorf, hasNeighboringMunicipality, Oberburg]
Generated description
Oberburg is a municipality in the Emmental administrative district of the canton of Bern in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberburg Target entity description: Oberburg is a municipality in the Emmental administrative district of the canton of Bern in Switzerland.
-
A.
Obernbreit
Obernbreit is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural Franconian character and wine-growing traditions.
-
B.
Oberaudorf
Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
-
C.
Oberhöchstadt
Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
-
D.
Oberdrauburg
Oberdrauburg is a market town in the Austrian state of Carinthia, situated in the upper Drava Valley near the border with East Tyrol.
-
E.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e475953c81909f792793ded2057e |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05036a457481909ee7e4b1b8246797 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05076aaaf08190a1412e1801b65a77 |
completed | May 13, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05080e38488190aa619ec1f38f77de |
completed | May 13, 2026, 11:23 p.m. |
Created at: April 10, 2026, 10:32 a.m.