Triple
T9263084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Fairy Tale Route |
E222625
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Trendelburg
Trendelburg is a small historic town in northern Hesse, Germany, best known for its medieval castle and association with the Rapunzel fairy tale.
|
E789999
|
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: Trendelburg | Statement: [German Fairy Tale Route, passesThrough, Trendelburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trendelburg Context triple: [German Fairy Tale Route, passesThrough, Trendelburg]
-
A.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
B.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
-
C.
Euerbach
Euerbach is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
D.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
E.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
- 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: Trendelburg Triple: [German Fairy Tale Route, passesThrough, Trendelburg]
Generated description
Trendelburg is a small historic town in northern Hesse, Germany, best known for its medieval castle and association with the Rapunzel fairy tale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trendelburg Target entity description: Trendelburg is a small historic town in northern Hesse, Germany, best known for its medieval castle and association with the Rapunzel fairy tale.
-
A.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
B.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
-
C.
Euerbach
Euerbach is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
D.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
E.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
- 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_69d0b1e30c648190a2c6a8c4c6da390c |
completed | April 4, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d0b3ba0bd88190873816ec7e7929a7 |
completed | April 4, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b49ec4c88190a48909e7022d7e60 |
completed | April 4, 2026, 6:50 a.m. |
Created at: March 30, 2026, 7:32 p.m.