Triple
T9605210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylt |
E231952
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Hörnum
Hörnum is a small seaside resort town located at the southern tip of the German North Sea island of Sylt, known for its beaches, dunes, and lighthouse.
|
E810776
|
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: Hörnum | Statement: [Sylt, hasSettlement, Hörnum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hörnum Context triple: [Sylt, hasSettlement, Hörnum]
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Hornberg
Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
E.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
- 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: Hörnum Triple: [Sylt, hasSettlement, Hörnum]
Generated description
Hörnum is a small seaside resort town located at the southern tip of the German North Sea island of Sylt, known for its beaches, dunes, and lighthouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hörnum Target entity description: Hörnum is a small seaside resort town located at the southern tip of the German North Sea island of Sylt, known for its beaches, dunes, and lighthouse.
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Hornberg
Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
E.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17939ed4c8190addfb052b762d454 |
completed | April 4, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_69d17a732628819098e50a6ecf47b98c |
completed | April 4, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17b16d8008190aa9bc71d470be4e5 |
completed | April 4, 2026, 8:56 p.m. |
Created at: March 30, 2026, 8:08 p.m.