Triple
T4285997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendal |
E97268
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Rinteln
Rinteln is a historic town in Lower Saxony, Germany, situated on the River Weser and known for its well-preserved medieval architecture.
|
E427772
|
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: Rinteln | Statement: [Kendal, twinnedWith, Rinteln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rinteln Context triple: [Kendal, twinnedWith, Rinteln]
-
A.
Rheinhausen
Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
-
B.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
-
C.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
D.
Wippingen
Wippingen is a village and district (Ortsteil) of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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: Rinteln Triple: [Kendal, twinnedWith, Rinteln]
Generated description
Rinteln is a historic town in Lower Saxony, Germany, situated on the River Weser and known for its well-preserved medieval architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rinteln Target entity description: Rinteln is a historic town in Lower Saxony, Germany, situated on the River Weser and known for its well-preserved medieval architecture.
-
A.
Rheinhausen
Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
-
B.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
-
C.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
D.
Wippingen
Wippingen is a village and district (Ortsteil) of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505d23d88190a638f2cc2acee9ee |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5bba7859481909e2afe21774dc599 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc5f26508190b333ec09c517f7c8 |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:07 p.m.