Triple
T18463581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberbürgermeister |
E451098
|
entity |
| Predicate | hasBroaderAuthorityThan |
P21686
|
FINISHED |
| Object | regular mayor |
—
|
LITERAL FINISHED |
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: regular mayor | Statement: [Oberbürgermeister, hasBroaderAuthorityThan, regular mayor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroaderAuthorityThan Context triple: [Oberbürgermeister, hasBroaderAuthorityThan, regular mayor]
-
A.
isParentOf
Indicates that one entity is the biological or legal parent of another entity.
-
B.
isCrossoverOf
Indicates that one entity is a crossover derived from, combining elements of, or intersecting the domains of the referenced entities.
-
C.
isChildOf
Indicates that one entity is the offspring or direct descendant of another entity.
-
D.
isPartOfHierarchyWith
chosen
Indicates that one entity occupies a defined position within an ordered or nested structure relative to another entity in the same hierarchy.
-
E.
hasPredecessorAdministrativeEntity
Indicates that one administrative entity directly preceded another in an official or organizational sequence.
- F. None of above.
Provenance (3 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8190508190a74b1d3482364905 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.