Triple
T17858211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesselberg |
E445995
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object |
Röckingen
Röckingen is a small municipality in Bavaria, Germany, situated near the Hesselberg in the Ansbach district of Middle Franconia.
|
E1309493
|
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: Röckingen | Statement: [Hesselberg, nearestTown, Röckingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röckingen Context triple: [Hesselberg, nearestTown, Röckingen]
-
A.
Pleiskirchen
Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
-
B.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
-
E.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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: Röckingen Triple: [Hesselberg, nearestTown, Röckingen]
Generated description
Röckingen is a small municipality in Bavaria, Germany, situated near the Hesselberg in the Ansbach district of Middle Franconia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Röckingen Target entity description: Röckingen is a small municipality in Bavaria, Germany, situated near the Hesselberg in the Ansbach district of Middle Franconia.
-
A.
Pleiskirchen
Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
-
B.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
-
E.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978e68ec8190a4306f7b7bb058d7 |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fa1abc08190bb1d2aa8a662d207 |
completed | May 12, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_6a0390a83840819095534d0ed3ba3142 |
completed | May 12, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03922a2a148190917adab265da0e55 |
completed | May 12, 2026, 8:48 p.m. |
Created at: April 10, 2026, 10:17 a.m.