Triple
T15931390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldmark |
E386331
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object | Hamburg mark banco |
E889800
|
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: Hamburg mark banco | Statement: [Goldmark, replaced, Hamburg mark banco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg mark banco Context triple: [Goldmark, replaced, Hamburg mark banco]
-
A.
Hamburg banco
Hamburg banco was a stable silver-based bank money used in early modern Hamburg as a key medium for large-scale and international trade transactions.
-
B.
Hamburg mark
chosen
The Hamburg mark was the historical monetary unit used by the Free City of Hamburg before the adoption of the German mark.
-
C.
Frankfurter Bank
Frankfurter Bank was a historic German financial institution based in Frankfurt that played a key role in early 20th-century banking and corporate finance.
-
D.
Königsberger Bank
Königsberger Bank was a historic German financial institution based in Königsberg that played a key role in regional banking and early 20th-century commercial development.
-
E.
Hamburglar
Hamburglar is a classic McDonaldland villain character known for his striped outfit, wide-brimmed hat, and comical attempts to steal hamburgers.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a5b9348190962ddc1c35caf44f |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b2a8888190824f2252b65920f2 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.