Triple
T10988134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haßberge (district) |
E259683
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stettfeld
Stettfeld is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
|
E903553
|
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: Stettfeld | Statement: [Haßberge (district), contains, Stettfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stettfeld Context triple: [Haßberge (district), contains, Stettfeld]
-
A.
Schwarmstedt
Schwarmstedt is a municipality in Lower Saxony, Germany, situated in the Heidekreis district along the River Aller.
-
B.
Eidelstedt
Eidelstedt is a district in the northwestern part of Hamburg, Germany, known for its residential areas and local shopping centers.
-
C.
Friedeburg
Friedeburg is a small municipality in Lower Saxony, Germany, known for its rural character and location within the East Frisian region.
-
D.
Lauenburg
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
E.
Teterow
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
- 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: Stettfeld Triple: [Haßberge (district), contains, Stettfeld]
Generated description
Stettfeld is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stettfeld Target entity description: Stettfeld is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
A.
Schwarmstedt
Schwarmstedt is a municipality in Lower Saxony, Germany, situated in the Heidekreis district along the River Aller.
-
B.
Eidelstedt
Eidelstedt is a district in the northwestern part of Hamburg, Germany, known for its residential areas and local shopping centers.
-
C.
Friedeburg
Friedeburg is a small municipality in Lower Saxony, Germany, known for its rural character and location within the East Frisian region.
-
D.
Lauenburg
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
E.
Teterow
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e717481c81908800cd785537c8fc |
completed | April 18, 2026, 8:18 p.m. |
| NEDg | Description generation | batch_69e3f2c889dc81909a04c1db0509e3d9 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4746dbc8190a0e28202ad5e6b4f |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:24 p.m.