Triple
T21372297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geldern |
E527096
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Sven Kaiser |
—
|
NE NERFINISHED |
How this triple was built (2 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: Sven Kaiser | Statement: [Geldern, hasMayor, Sven Kaiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sven Kaiser Context triple: [Geldern, hasMayor, Sven Kaiser]
-
A.
Sven Kaiser
chosen
Sven Kaiser is a German local politician who serves as the mayor of the town of Geldern in North Rhine-Westphalia.
-
B.
Sven Wagner
Sven Wagner is a German local politician who serves as the mayor of the town of Aschersleben in Saxony-Anhalt.
-
C.
Jens Harzer
Jens Harzer is a renowned German stage and film actor, widely regarded as one of the leading performers in contemporary German-language theater.
-
D.
Andreas Senger
Andreas Senger is a person bearing the surname Senger, about whom no widely documented public information is available.
-
E.
Lars König
Lars König is a German local politician who serves as the mayor of the city of Witten in North Rhine-Westphalia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b0d5ec81908da8f38380dbdc7a |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.