Triple
T6210188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorpommern-Rügen |
E138846
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Barth
Barth is a small historic town in northeastern Germany, located near the Baltic Sea coast in the state of Mecklenburg-Vorpommern.
|
E575566
|
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: Barth | Statement: [Vorpommern-Rügen, hasTown, Barth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barth Context triple: [Vorpommern-Rügen, hasTown, Barth]
-
A.
Barth
Barth is a surname most notably associated with American actress Jessica Barth, known for her role in the "Ted" film series.
-
B.
Gronau
Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
-
C.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
D.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
E.
Warburg
Warburg is a historic small city in the German state of Hesse, known for its well-preserved medieval old town and hilltop castle.
- 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: Barth Triple: [Vorpommern-Rügen, hasTown, Barth]
Generated description
Barth is a small historic town in northeastern Germany, located near the Baltic Sea coast in the state of Mecklenburg-Vorpommern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barth Target entity description: Barth is a small historic town in northeastern Germany, located near the Baltic Sea coast in the state of Mecklenburg-Vorpommern.
-
A.
Barth
Barth is a surname most notably associated with American actress Jessica Barth, known for her role in the "Ted" film series.
-
B.
Gronau
Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
-
C.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
D.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
E.
Warburg
Warburg is a historic small city in the German state of Hesse, known for its well-preserved medieval old town and hilltop castle.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1bfe63d708190b734c064bdf0d735 |
completed | March 23, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c3f2b1388190bef6fe203f11fa3f |
completed | March 23, 2026, 10:51 p.m. |
Created at: March 22, 2026, 4:21 p.m.