Triple
T25795231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German East African rupie |
E649660
|
entity |
| Predicate | issuingBank |
P159273
|
FINISHED |
| Object | Deutsch-Ostafrikanische Bank |
—
|
NE NERFINISHED |
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: Deutsch-Ostafrikanische Bank | Statement: [German East African rupie, issuingBank, Deutsch-Ostafrikanische Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuingBank Context triple: [German East African rupie, issuingBank, Deutsch-Ostafrikanische Bank]
-
A.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
B.
headquartersOfIssuer
Indicates the location that serves as the main headquarters of the issuing entity.
-
C.
initiationInstitution
Indicates that an institution is responsible for initiating or starting a particular action, process, or relationship.
-
D.
issuerNameShort
Indicates the abbreviated or shortened form of the name of the entity acting as the issuer.
-
E.
issuerBestKnownFor
Indicates the primary work, achievement, or characteristic for which an issuer is most widely recognized.
- F. None of above. chosen
Provenance (4 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ff02f0948190b1e3cee38a97105d |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 6:29 a.m.