Triple
T8789843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inning am Ammersee |
E209134
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Fischerhäuser
Fischerhäuser is a small locality that forms part of the municipality of Inning am Ammersee in Bavaria, Germany.
|
E757774
|
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: Fischerhäuser | Statement: [Inning am Ammersee, hasSubdivision, Fischerhäuser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischerhäuser Context triple: [Inning am Ammersee, hasSubdivision, Fischerhäuser]
-
A.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
B.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
C.
Hausen
Hausen is a small suburban district of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
- 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: Fischerhäuser Triple: [Inning am Ammersee, hasSubdivision, Fischerhäuser]
Generated description
Fischerhäuser is a small locality that forms part of the municipality of Inning am Ammersee in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fischerhäuser Target entity description: Fischerhäuser is a small locality that forms part of the municipality of Inning am Ammersee in Bavaria, Germany.
-
A.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
B.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
C.
Hausen
Hausen is a small suburban district of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf5378c3f48190a4180c20aecb2260 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5471e9c08190963b7f1d6c2ceffe |
completed | April 3, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:43 p.m.