Triple
T16460338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belp |
E399788
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Gelterfingen
Gelterfingen is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and quiet village character.
|
E1214873
|
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: Gelterfingen | Statement: [Belp, hasNeighboringMunicipality, Gelterfingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelterfingen Context triple: [Belp, hasNeighboringMunicipality, Gelterfingen]
-
A.
Hiltenfingen
Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Eigeltingen
Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
-
C.
Hägglingen
Hägglingen is a municipality in the canton of Aargau in northern Switzerland, situated in the district of Bremgarten.
-
D.
Gundelfingen
Gundelfingen is a municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
E.
Engstingen
Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
- 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: Gelterfingen Triple: [Belp, hasNeighboringMunicipality, Gelterfingen]
Generated description
Gelterfingen is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and quiet village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gelterfingen Target entity description: Gelterfingen is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and quiet village character.
-
A.
Hiltenfingen
Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Eigeltingen
Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
-
C.
Hägglingen
Hägglingen is a municipality in the canton of Aargau in northern Switzerland, situated in the district of Bremgarten.
-
D.
Gundelfingen
Gundelfingen is a municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
E.
Engstingen
Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
- 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_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. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.