Triple
T14577572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Baldegg |
E342095
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object |
Gelfingen
Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
|
E1106143
|
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: Gelfingen | Statement: [Lake Baldegg, locatedInMunicipality, Gelfingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelfingen Context triple: [Lake Baldegg, locatedInMunicipality, Gelfingen]
-
A.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
B.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
-
C.
Goeferdinge
Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
D.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
E.
Gulpen-Wittem
Gulpen-Wittem is a rural municipality in the hilly, scenic part of the Dutch province of Limburg, known for its historic villages and popular cycling and hiking routes.
- 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: Gelfingen Triple: [Lake Baldegg, locatedInMunicipality, Gelfingen]
Generated description
Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gelfingen Target entity description: Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
-
A.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
B.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
-
C.
Goeferdinge
Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
D.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
E.
Gulpen-Wittem
Gulpen-Wittem is a rural municipality in the hilly, scenic part of the Dutch province of Limburg, known for its historic villages and popular cycling and hiking routes.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ace7da48190880a736ead5c4055 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bb3c1188190b158d30e9c962911 |
completed | May 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c6e7d448190835f87e27c998623 |
completed | May 8, 2026, 7:10 a.m. |
Created at: April 10, 2026, 1:24 a.m.