Triple
T6486071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirchstetten, Austria |
E146512
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Totzenbach
Totzenbach is a small locality that forms part of the municipality of Kirchstetten in Lower Austria.
|
E595968
|
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: Totzenbach | Statement: [Kirchstetten, Austria, hasSubdivision, Totzenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Totzenbach Context triple: [Kirchstetten, Austria, hasSubdivision, Totzenbach]
-
A.
Breitenbach
Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
-
B.
Kleinglattbach
Kleinglattbach is a small village in southwestern Germany, known as the birthplace of diplomat and former Nazi foreign minister Konstantin von Neurath.
-
C.
Sulzbach
Sulzbach is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
D.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
E.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
- 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: Totzenbach Triple: [Kirchstetten, Austria, hasSubdivision, Totzenbach]
Generated description
Totzenbach is a small locality that forms part of the municipality of Kirchstetten in Lower Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Totzenbach Target entity description: Totzenbach is a small locality that forms part of the municipality of Kirchstetten in Lower Austria.
-
A.
Breitenbach
Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
-
B.
Kleinglattbach
Kleinglattbach is a small village in southwestern Germany, known as the birthplace of diplomat and former Nazi foreign minister Konstantin von Neurath.
-
C.
Sulzbach
Sulzbach is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
D.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
E.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a706d4c8190b7a3cc8855abcecb |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b4e91c81908dfa1798a057b21a |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c65463dad88190ad2429140623ff80 |
completed | March 27, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654d0c2948190a4d586071133d759 |
completed | March 27, 2026, 9:58 a.m. |
Created at: March 22, 2026, 4:52 p.m.