Triple
T6964778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian gulden |
E161460
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | krone |
E240643
|
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: krone | Statement: [Austrian gulden, replacedBy, krone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: krone Context triple: [Austrian gulden, replacedBy, krone]
-
A.
krone
chosen
The krone is a Scandinavian monetary unit historically used by several Nordic countries, including Denmark, Norway, and Sweden, and still serves as the official currency in some of them today.
-
B.
Kron
Kron is the surname of Lisa Kron, an American playwright and actress known for works like the Tony Award-winning musical "Fun Home."
-
C.
krar
The krar is a traditional Ethiopian lyre-like stringed instrument widely used in Amhara music and cultural performances.
-
D.
Kruklanki
Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
-
E.
KR
KR is the vehicle registration code used on license plates for the German city of Krefeld.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1049e0819097099a0e9d15f787 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
Created at: March 27, 2026, 2:30 p.m.