Triple
T12814010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiel Week |
E306343
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | City of Kiel |
E108871
|
NE 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: City of Kiel | Statement: [Kiel Week, organizer, City of Kiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Kiel Context triple: [Kiel Week, organizer, City of Kiel]
-
A.
Friedrichstadt
Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
-
B.
Kiel
chosen
Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
-
C.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
D.
Oldenburg
Oldenburg is a historic European noble house that ruled various territories in Denmark, Norway, and northern Germany and provided numerous monarchs to several European thrones.
-
E.
Luisenstadt
Luisenstadt is a historic former district of Berlin, Germany, known for its 19th-century urban development and significant cultural and architectural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a544badc8190877c39728e57af6f |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:31 p.m.