Triple
T17481870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimsener Höhle |
E425679
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Hayingen
Hayingen is a small town in the Swabian Jura region of Baden-Württemberg, Germany, known for its picturesque landscapes and proximity to notable karst caves and natural attractions.
|
E1270432
|
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: Hayingen | Statement: [Wimsener Höhle, locatedNear, Hayingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayingen Context triple: [Wimsener Höhle, locatedNear, Hayingen]
-
A.
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
-
B.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
C.
Ehningen
Ehningen is a small German municipality in the state of Baden-Württemberg, located near Stuttgart and known for its mix of residential areas and technology-oriented businesses.
-
D.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
E.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, 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: Hayingen Triple: [Wimsener Höhle, locatedNear, Hayingen]
Generated description
Hayingen is a small town in the Swabian Jura region of Baden-Württemberg, Germany, known for its picturesque landscapes and proximity to notable karst caves and natural attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hayingen Target entity description: Hayingen is a small town in the Swabian Jura region of Baden-Württemberg, Germany, known for its picturesque landscapes and proximity to notable karst caves and natural attractions.
-
A.
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
-
B.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
C.
Ehningen
Ehningen is a small German municipality in the state of Baden-Württemberg, located near Stuttgart and known for its mix of residential areas and technology-oriented businesses.
-
D.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
E.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451c0db14819098922453131fb40a |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b8320f488190a4eacfb628bb1dfd |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8dd58f8819090d5138897c5155f |
completed | May 11, 2026, 11:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9676d54819098315611857dd6ea |
completed | May 11, 2026, 11:11 a.m. |
Created at: April 10, 2026, 5:48 a.m.