Triple
T15610904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eschweiler |
E375285
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Nadja Zikes
Nadja Zikes is a German local politician who serves as the mayor of the city of Eschweiler in North Rhine-Westphalia.
|
E1167025
|
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: Nadja Zikes | Statement: [Eschweiler, hasMayor, Nadja Zikes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadja Zikes Context triple: [Eschweiler, hasMayor, Nadja Zikes]
-
A.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
B.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
-
C.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
D.
Nadia Landowski
Nadia Landowski was a French sculptor and painter, known as the daughter of renowned sculptor Paul Landowski and for her own contributions to 20th-century French art.
-
E.
Nina Varzar
Nina Varzar was the wife of renowned Soviet composer Dmitri Shostakovich and a physicist by profession.
- 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: Nadja Zikes Triple: [Eschweiler, hasMayor, Nadja Zikes]
Generated description
Nadja Zikes is a German local politician who serves as the mayor of the city of Eschweiler in North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nadja Zikes Target entity description: Nadja Zikes is a German local politician who serves as the mayor of the city of Eschweiler in North Rhine-Westphalia.
-
A.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
B.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
-
C.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
D.
Nadia Landowski
Nadia Landowski was a French sculptor and painter, known as the daughter of renowned sculptor Paul Landowski and for her own contributions to 20th-century French art.
-
E.
Nina Varzar
Nina Varzar was the wife of renowned Soviet composer Dmitri Shostakovich and a physicist by profession.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.