Triple
T12580910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rüthen |
E300331
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kreuzweg
Kreuzweg is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
|
E991063
|
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: Kreuzweg | Statement: [Rüthen, hasSubdivision, Kreuzweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kreuzweg Context triple: [Rüthen, hasSubdivision, Kreuzweg]
-
A.
Heiliges Kreuz
Heiliges Kreuz refers to the Holy Cross of Jesus Christ, venerated in Christian tradition as the instrument of his crucifixion and a central symbol of salvation.
-
B.
Heiligenkreuz
Heiligenkreuz is an Austrian village in Lower Austria best known for its historic Cistercian monastery, Heiligenkreuz Abbey, one of the oldest continuously occupied Cistercian monasteries in the world.
-
C.
Küppersteg
Küppersteg is a district of the German city of Leverkusen, located in the state of North Rhine-Westphalia.
-
D.
Salzstraße
Salzstraße is a historic street in Münster, Germany, known as one of the city’s traditional merchant and baroque thoroughfares.
-
E.
Frankfurter Kreuz
Frankfurter Kreuz is one of Germany’s busiest and most important motorway interchanges, connecting major autobahns near Frankfurt in the Rhine-Main region.
- 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: Kreuzweg Triple: [Rüthen, hasSubdivision, Kreuzweg]
Generated description
Kreuzweg is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kreuzweg Target entity description: Kreuzweg is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
-
A.
Heiliges Kreuz
Heiliges Kreuz refers to the Holy Cross of Jesus Christ, venerated in Christian tradition as the instrument of his crucifixion and a central symbol of salvation.
-
B.
Heiligenkreuz
Heiligenkreuz is an Austrian village in Lower Austria best known for its historic Cistercian monastery, Heiligenkreuz Abbey, one of the oldest continuously occupied Cistercian monasteries in the world.
-
C.
Küppersteg
Küppersteg is a district of the German city of Leverkusen, located in the state of North Rhine-Westphalia.
-
D.
Salzstraße
Salzstraße is a historic street in Münster, Germany, known as one of the city’s traditional merchant and baroque thoroughfares.
-
E.
Frankfurter Kreuz
Frankfurter Kreuz is one of Germany’s busiest and most important motorway interchanges, connecting major autobahns near Frankfurt in the Rhine-Main region.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b97a508190b6c901c506441dd0 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566fe5dc8190910bc7ad34593a58 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65702435c8190a69e681c56a19b16 |
completed | May 2, 2026, 7:56 p.m. |
Created at: April 9, 2026, 5:02 p.m.