Triple
T9123405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIP |
E218913
|
entity |
| Predicate | usedInTown |
P87209
|
FINISHED |
| Object |
Barntrup
Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
|
E780787
|
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: Barntrup | Statement: [LIP, usedInTown, Barntrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barntrup Context triple: [LIP, usedInTown, Barntrup]
-
A.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
B.
Steinbach
Steinbach is a small river or stream in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg (Starnberger See).
-
C.
Nyhausen
Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
-
D.
Beffendorf
Beffendorf is a village and district of the town Oberndorf am Neckar in the German state of Baden-Württemberg.
-
E.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
- 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: Barntrup Triple: [LIP, usedInTown, Barntrup]
Generated description
Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barntrup Target entity description: Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
-
A.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
B.
Steinbach
Steinbach is a small river or stream in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg (Starnberger See).
-
C.
Nyhausen
Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
-
D.
Beffendorf
Beffendorf is a village and district of the town Oberndorf am Neckar in the German state of Baden-Württemberg.
-
E.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b5fa188190be6465e74cf26915 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047c55a988190bf2dd63a0d0a2743 |
completed | April 3, 2026, 11:05 p.m. |
| NEDg | Description generation | batch_69d048dbcfe08190afb6ee816e22ddfc |
completed | April 3, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049b159d08190ad426bb7f9bcafb1 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:17 p.m.