Triple
T19823879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayrhofen |
E476266
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object |
Schwendau
Schwendau is a small alpine village in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to the ski and hiking resort town of Mayrhofen.
|
E1399009
|
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: Schwendau | Statement: [Mayrhofen, hasNearbyVillage, Schwendau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwendau Context triple: [Mayrhofen, hasNearbyVillage, Schwendau]
-
A.
Schwanenburg
Schwanenburg is a historic hilltop castle in Kleve, Germany, known for its prominent tower and its role in regional medieval and early modern history.
-
B.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
C.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
D.
Haslach
Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
-
E.
Salvenach
Salvenach is a former municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the town of Murten.
- 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: Schwendau Triple: [Mayrhofen, hasNearbyVillage, Schwendau]
Generated description
Schwendau is a small alpine village in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to the ski and hiking resort town of Mayrhofen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwendau Target entity description: Schwendau is a small alpine village in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to the ski and hiking resort town of Mayrhofen.
-
A.
Schwanenburg
Schwanenburg is a historic hilltop castle in Kleve, Germany, known for its prominent tower and its role in regional medieval and early modern history.
-
B.
Haslach
Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
-
C.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
D.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
E.
Salvenach
Salvenach is a former municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the town of Murten.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6550070c4819099e1f057b9a8849e |
completed | April 20, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43228cc8190a80b7ac4e4ffebca |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d7a80f588190a61ff318a4800e10 |
completed | May 16, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d89ae8308190a8bc35e303976fea |
completed | May 16, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:50 p.m.