Triple
T9841207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark der DDR |
E239229
|
entity |
| Predicate | currencyCode |
P208
|
FINISHED |
| Object | DDM |
E239230
|
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: DDM | Statement: [Mark der DDR, currencyCode, DDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DDM Context triple: [Mark der DDR, currencyCode, DDM]
-
A.
DDM
chosen
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
-
B.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
C.
DDP
DDP is a network protocol used in AppleTalk for connectionless, best-effort delivery of datagram packets between devices.
-
D.
DDP
DDP was a liberal political party in the Weimar Republic that advocated democratic reforms, civil liberties, and a parliamentary system in post–World War I Germany.
-
E.
DDDN
DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d9673c8190ada27bef9220798d |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.