Triple
T2180248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Church of Kurhessen-Waldeck |
E49023
|
entity |
| Predicate | hasMainCityInTerritory |
P22796
|
FINISHED |
| Object |
Hanau
Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
|
E289017
|
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: Hanau | Statement: [Evangelical Church of Kurhessen-Waldeck, hasMainCityInTerritory, Hanau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanau Context triple: [Evangelical Church of Kurhessen-Waldeck, hasMainCityInTerritory, Hanau]
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Herrlingen
Herrlingen is a small village in the German state of Baden-Württemberg, historically noted as the place where Field Marshal Erwin Rommel spent his final days during World War II.
-
C.
Schaafheim
Schaafheim is a municipality in the state of Hesse in central Germany.
-
D.
Bad Soden am Taunus
Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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: Hanau Triple: [Evangelical Church of Kurhessen-Waldeck, hasMainCityInTerritory, Hanau]
Generated description
Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanau Target entity description: Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Herrlingen
Herrlingen is a small village in the German state of Baden-Württemberg, historically noted as the place where Field Marshal Erwin Rommel spent his final days during World War II.
-
C.
Schaafheim
Schaafheim is a municipality in the state of Hesse in central Germany.
-
D.
Bad Soden am Taunus
Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc5af20808190902031d8c0bba376 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa03c35f48190a4ad11595fea91ae |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa24054f48190a7af299c72962b3b |
completed | March 10, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa2da7cc88190a9568cd573ce5b41 |
completed | March 10, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:45 p.m.