Triple
T21166678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotenburg an der Fulda |
E521581
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bebra
Bebra is a small town in the Hersfeld-Rotenburg district of northeastern Hesse, Germany, historically known as a regional railway junction.
|
E1470231
|
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: Bebra | Statement: [Rotenburg an der Fulda, locatedNear, Bebra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bebra Context triple: [Rotenburg an der Fulda, locatedNear, Bebra]
-
A.
Bebra
Bebra is a small settlement located in the historical region of Westphalia in western Germany.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Bereina
Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
-
D.
Kleine Enz
Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
-
E.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
- 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: Bebra Triple: [Rotenburg an der Fulda, locatedNear, Bebra]
Generated description
Bebra is a small town in the Hersfeld-Rotenburg district of northeastern Hesse, Germany, historically known as a regional railway junction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bebra Target entity description: Bebra is a small town in the Hersfeld-Rotenburg district of northeastern Hesse, Germany, historically known as a regional railway junction.
-
A.
Bebra
Bebra is a small settlement located in the historical region of Westphalia in western Germany.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Bereina
Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
-
D.
Kleine Enz
Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
-
E.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09756f7c248190ad324d3e3bcb9999 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a097624dae881909408db5a6ca92f85 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09779306208190bbfee4ca6cb705e8 |
completed | May 17, 2026, 8:08 a.m. |
Created at: April 16, 2026, 2:59 p.m.