Triple
T19492656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rielasingen-Worblingen |
E487689
|
entity |
| Predicate | hasMunicipalPart |
P84684
|
FINISHED |
| Object |
Worblingen
Worblingen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
|
E1379366
|
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: Worblingen | Statement: [Rielasingen-Worblingen, hasMunicipalPart, Worblingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worblingen Context triple: [Rielasingen-Worblingen, hasMunicipalPart, Worblingen]
-
A.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
B.
Woringen
Woringen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
C.
Ellwangen
Ellwangen is a historic town in the German state of Baden-Württemberg, known for its well-preserved old town, baroque basilica, and former prince-provost residence.
-
D.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
E.
Holzgerlingen
Holzgerlingen is a small town in the German state of Baden-Württemberg, located southwest of Stuttgart and known for its residential character and proximity to the Schönbuch forest.
- 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: Worblingen Triple: [Rielasingen-Worblingen, hasMunicipalPart, Worblingen]
Generated description
Worblingen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Worblingen Target entity description: Worblingen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
-
A.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
B.
Woringen
Woringen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
C.
Ellwangen
Ellwangen is a historic town in the German state of Baden-Württemberg, known for its well-preserved old town, baroque basilica, and former prince-provost residence.
-
D.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
E.
Holzgerlingen
Holzgerlingen is a small town in the German state of Baden-Württemberg, located southwest of Stuttgart and known for its residential character and proximity to the Schönbuch forest.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0747171e2081908de31bddb24b9b54 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07482641588190bb63c21a2d5013ca |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0748f20a4c81909f6a596a27ca7581 |
completed | May 15, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:39 p.m.