Triple
T10700462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Jakob Kaup |
E252261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kaup |
E806953
|
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: Kaup | Statement: [Johann Jakob Kaup, familyName, Kaup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaup Context triple: [Johann Jakob Kaup, familyName, Kaup]
-
A.
Kaup
chosen
Kaup refers to Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his taxonomic work in classifying fishes and other vertebrates.
-
B.
Kaupanger
Kaupanger is a village in Vestland county, Norway, known for its historic stave church and its location along the inner Sognefjord.
-
C.
Karup
Karup is a town in central Jutland, Denmark, notable for its major military air base and role as a key Danish defense hub.
-
D.
Koksijde
Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
-
E.
Apphus
Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8bb7408190a350840e1df3b910 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.