Triple
T9263080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Fairy Tale Route |
E222625
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Steinau an der Straße
Steinau an der Straße is a historic small town in Hesse, Germany, best known for its association with the Brothers Grimm and its well-preserved medieval architecture.
|
E809185
|
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: Steinau an der Straße | Statement: [German Fairy Tale Route, passesThrough, Steinau an der Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinau an der Straße Context triple: [German Fairy Tale Route, passesThrough, Steinau an der Straße]
-
A.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Stühlingen
Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern 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: Steinau an der Straße Triple: [German Fairy Tale Route, passesThrough, Steinau an der Straße]
Generated description
Steinau an der Straße is a historic small town in Hesse, Germany, best known for its association with the Brothers Grimm and its well-preserved medieval architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinau an der Straße Target entity description: Steinau an der Straße is a historic small town in Hesse, Germany, best known for its association with the Brothers Grimm and its well-preserved medieval architecture.
-
A.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Stühlingen
Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0719eee081909e21ecb9d6dd0b49 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1610abbec81908743c1ef20fb39d4 |
completed | April 4, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69d165d8f2ec8190b2cd568128f547d2 |
completed | April 4, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d166268b908190bfa3c884ee2d4ca4 |
completed | April 4, 2026, 7:27 p.m. |
Created at: March 30, 2026, 7:32 p.m.