Triple
T10892348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinfurt (district) |
E257209
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Saerbeck
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
|
E896000
|
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: Saerbeck | Statement: [Steinfurt (district), contains, Saerbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saerbeck Context triple: [Steinfurt (district), contains, Saerbeck]
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Sasbach
Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
-
E.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
- 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: Saerbeck Triple: [Steinfurt (district), contains, Saerbeck]
Generated description
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saerbeck Target entity description: Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Sasbach
Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
-
E.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b9e5ddc81908cbd27e8db49dbaf |
completed | April 17, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69e2453f6f008190847298f4006290f7 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e288b1d64c8190b31313634b706d0a |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:21 p.m.