Triple
T19197225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pongau |
E470002
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pfarrwerfen
Pfarrwerfen is a small Austrian municipality in the district of St. Johann im Pongau in the state of Salzburg, known for its Alpine scenery and proximity to popular ski and hiking areas.
|
E1362292
|
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: Pfarrwerfen | Statement: [Pongau, contains, Pfarrwerfen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfarrwerfen Context triple: [Pongau, contains, Pfarrwerfen]
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Walkertshofen
Walkertshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
E.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
- 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: Pfarrwerfen Triple: [Pongau, contains, Pfarrwerfen]
Generated description
Pfarrwerfen is a small Austrian municipality in the district of St. Johann im Pongau in the state of Salzburg, known for its Alpine scenery and proximity to popular ski and hiking areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfarrwerfen Target entity description: Pfarrwerfen is a small Austrian municipality in the district of St. Johann im Pongau in the state of Salzburg, known for its Alpine scenery and proximity to popular ski and hiking areas.
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Walkertshofen
Walkertshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
E.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a695cc8190b84a220f52c51dfc |
completed | April 20, 2026, 9:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c2805c8190be95a283c7db864f |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f948932c8190a4ce08178c00b251 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9e1fb708190958c64fd38d32d04 |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 12:07 p.m.