Triple
T9540609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straubing-Bogen |
E230145
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Neukirchen
Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
|
E813688
|
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: Neukirchen | Statement: [Straubing-Bogen, contains, Neukirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neukirchen Context triple: [Straubing-Bogen, contains, Neukirchen]
-
A.
Nunkirchen
Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
-
B.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
C.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
D.
Markneukirchen
Markneukirchen is a small German town in Saxony renowned for its centuries-old tradition of crafting high-quality string instruments and other musical instruments.
-
E.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
- 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: Neukirchen Triple: [Straubing-Bogen, contains, Neukirchen]
Generated description
Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neukirchen Target entity description: Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
A.
Nunkirchen
Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
-
B.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
C.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
D.
Markneukirchen
Markneukirchen is a small German town in Saxony renowned for its centuries-old tradition of crafting high-quality string instruments and other musical instruments.
-
E.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189ebe80c819099602cc6dedd3769 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:01 p.m.