Triple
T2544403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Mayor of Hamburg |
E57862
|
entity |
| Predicate | officeHolderTitleInGerman |
P39459
|
FINISHED |
| Object | Erster Bürgermeister der Freien und Hansestadt Hamburg |
—
|
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: Erster Bürgermeister der Freien und Hansestadt Hamburg | Statement: [First Mayor of Hamburg, officeHolderTitleInGerman, Erster Bürgermeister der Freien und Hansestadt Hamburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleInGerman Context triple: [First Mayor of Hamburg, officeHolderTitleInGerman, Erster Bürgermeister der Freien und Hansestadt Hamburg]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
officeHolderTitleInHungarian
Indicates the official title or designation of an office holder expressed in the Hungarian language.
-
C.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
D.
officeHolderTitleInJapanese
Indicates the official title or designation of an office holder as expressed in the Japanese language.
-
E.
officeHolderTitleInPortuguese
Indicates the official title or designation of an office holder as expressed in the Portuguese language.
- F. None of above. chosen
Provenance (4 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:47 p.m.