Triple
T18383627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seligenstadt |
E446520
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Froschhausen
Froschhausen is a district of the town of Seligenstadt in the state of Hesse, Germany, known for its village character and local traditions.
|
E1324665
|
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: Froschhausen | Statement: [Seligenstadt, hasCityDistrict, Froschhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froschhausen Context triple: [Seligenstadt, hasCityDistrict, Froschhausen]
-
A.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Harthausen
Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
E.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic 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: Froschhausen Triple: [Seligenstadt, hasCityDistrict, Froschhausen]
Generated description
Froschhausen is a district of the town of Seligenstadt in the state of Hesse, Germany, known for its village character and local traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Froschhausen Target entity description: Froschhausen is a district of the town of Seligenstadt in the state of Hesse, Germany, known for its village character and local traditions.
-
A.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Harthausen
Harthausen is a village-level subdivision of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
E.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fd060ac819085c23e931203ec3d |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a0410995964819093a16a750fd81319 |
completed | May 13, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04110bce308190b2c6f0c78708b84d |
completed | May 13, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:45 a.m.