Triple
T15699761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Kapp |
E380563
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kapp |
E700097
|
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: Kapp | Statement: [Wolfgang Kapp, familyName, Kapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapp Context triple: [Wolfgang Kapp, familyName, Kapp]
-
A.
Kapp
chosen
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
-
B.
Kapp
Kapp is a small village in Innlandet county, Norway, situated on the shores of Lake Mjøsa and known historically for its dairy industry.
-
C.
Kapaa
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
-
D.
Kapp Weyprecht
Kapp Weyprecht is a remote Arctic headland on Kvitøya in the Svalbard archipelago, named after the Austro-Hungarian polar explorer Karl Weyprecht.
-
E.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6d71308190971c10c599da9645 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75756ecc8190bd2123ddfd080fd1 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.