Triple
T17868126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eich |
E446758
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Hildisrieden
Hildisrieden is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and scenic surroundings.
|
E1314763
|
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: Hildisrieden | Statement: [Eich, hasNeighboringMunicipality, Hildisrieden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hildisrieden Context triple: [Eich, hasNeighboringMunicipality, Hildisrieden]
-
A.
Staldenried
Staldenried is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
-
B.
Heretsried
Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
-
C.
Geretsried
Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
-
D.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Niederrieden
Niederrieden is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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: Hildisrieden Triple: [Eich, hasNeighboringMunicipality, Hildisrieden]
Generated description
Hildisrieden is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hildisrieden Target entity description: Hildisrieden is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and scenic surroundings.
-
A.
Staldenried
Staldenried is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
-
B.
Heretsried
Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
-
C.
Geretsried
Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
-
D.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Niederrieden
Niederrieden is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa0b69081909fba3b42d237b543 |
completed | April 19, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac552b0c8190b99b01b1718fa6c8 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03b0b0e4d8819097bc14a407cbb30f |
completed | May 12, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b184dc3c819093572ab7ff15adbb |
completed | May 12, 2026, 11:02 p.m. |
Created at: April 10, 2026, 10:17 a.m.