Triple
T13312431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witten |
E317101
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Lars König
Lars König is a German local politician who serves as the mayor of the city of Witten in North Rhine-Westphalia.
|
E1123910
|
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: Lars König | Statement: [Witten, hasMayor, Lars König]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars König Context triple: [Witten, hasMayor, Lars König]
-
A.
Markus König
Markus König is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
B.
Lars Schmidt
Lars Schmidt was a Swedish theatrical producer and director known for bringing American and British plays to Scandinavian and European stages and for his marriage to actress Ingrid Bergman.
-
C.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
-
D.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
E.
Michael König
Michael König is a German name shared by several notable individuals, including actors, musicians, and athletes.
- 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: Lars König Triple: [Witten, hasMayor, Lars König]
Generated description
Lars König is a German local politician who serves as the mayor of the city of Witten in North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lars König Target entity description: Lars König is a German local politician who serves as the mayor of the city of Witten in North Rhine-Westphalia.
-
A.
Markus König
Markus König is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
B.
Lars Schmidt
Lars Schmidt was a Swedish theatrical producer and director known for bringing American and British plays to Scandinavian and European stages and for his marriage to actress Ingrid Bergman.
-
C.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
-
D.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
E.
Michael König
Michael König is a German name shared by several notable individuals, including actors, musicians, and athletes.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e2991c81908f474fe07a6ba10a |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe674ad60c8190a3be185f71983b2f |
completed | May 8, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe67a5c7ec8190b30f190e9416a41c |
completed | May 8, 2026, 10:45 p.m. |
Created at: April 9, 2026, 9:29 p.m.