Triple
T20303482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Lübeck |
E505544
|
entity |
| Predicate | includedTown |
P847
|
FINISHED |
| Object |
Süsel
Süsel is a municipality in northern Germany’s Schleswig-Holstein region, known for its rural landscape and proximity to the Baltic Sea.
|
E1423297
|
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: Süsel | Statement: [Duchy of Lübeck, includedTown, Süsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Süsel Context triple: [Duchy of Lübeck, includedTown, Süsel]
-
A.
Sülz
Sülz is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
-
B.
Sütter
Sütter is an alternative transliteration of the surname Sautter, typically of German origin.
-
C.
Mülsen
Mülsen is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
-
D.
Melsau
Melsau is a small settlement that forms part of the municipality of Sevelen in the canton of St. Gallen, Switzerland.
-
E.
Sirok
Sirok is a village in northern Hungary known for its medieval castle ruins and scenic location in the Mátra mountain 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: Süsel Triple: [Duchy of Lübeck, includedTown, Süsel]
Generated description
Süsel is a municipality in northern Germany’s Schleswig-Holstein region, known for its rural landscape and proximity to the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Süsel Target entity description: Süsel is a municipality in northern Germany’s Schleswig-Holstein region, known for its rural landscape and proximity to the Baltic Sea.
-
A.
Sülz
Sülz is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
-
B.
Sütter
Sütter is an alternative transliteration of the surname Sautter, typically of German origin.
-
C.
Mülsen
Mülsen is a municipality in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
-
D.
Melsau
Melsau is a small settlement that forms part of the municipality of Sevelen in the canton of St. Gallen, Switzerland.
-
E.
Sirok
Sirok is a village in northern Hungary known for its medieval castle ruins and scenic location in the Mátra mountain 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086119b9808190ba5ebb80b43953d3 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0861b954888190a6305aa805aa97ff |
completed | May 16, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0862237d148190b4e12c878ca9c7a2 |
completed | May 16, 2026, 12:25 p.m. |
Created at: April 16, 2026, 11:17 a.m.