Triple
T1074716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rügen |
E23809
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Göhren
Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
|
E196316
|
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: Göhren | Statement: [Rügen, hasTown, Göhren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göhren Context triple: [Rügen, hasTown, Göhren]
-
A.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Ennigerloh
Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
-
D.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
E.
Walsrode
Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
- 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: Göhren Triple: [Rügen, hasTown, Göhren]
Generated description
Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Göhren Target entity description: Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
-
A.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Ennigerloh
Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
-
D.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
E.
Walsrode
Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92cbfd481909e2f928c1d06ebaa |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0b527dc819085f7b3ff85170e16 |
completed | March 8, 2026, 4:15 p.m. |
| NEDg | Description generation | batch_69ada1e13d408190b393c00c331125a2 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada292a34c8190a566c2909342ab27 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 1, 2026, 7:42 p.m.