Triple
T7619947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberbürgermeister of Stuttgart |
E172461
|
entity |
| Predicate | hasOfficialTitleInGerman |
P39459
|
FINISHED |
| Object | Oberbürgermeister der Landeshauptstadt Stuttgart |
—
|
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: Oberbürgermeister der Landeshauptstadt Stuttgart | Statement: [Oberbürgermeister of Stuttgart, hasOfficialTitleInGerman, Oberbürgermeister der Landeshauptstadt Stuttgart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialTitleInGerman Context triple: [Oberbürgermeister of Stuttgart, hasOfficialTitleInGerman, Oberbürgermeister der Landeshauptstadt Stuttgart]
-
A.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
B.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
-
C.
officeHolderTitleInGerman
chosen
Indicates the official title or designation of an office holder expressed in the German language.
-
D.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
E.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.