Triple
T29361359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopia and Eritrea |
E744598
|
entity |
| Predicate | EritreaCurrency |
P167422
|
FINISHED |
| Object | Eritrean nakfa |
—
|
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: Eritrean nakfa | Statement: [Ethiopia and Eritrea, EritreaCurrency, Eritrean nakfa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EritreaCurrency Context triple: [Ethiopia and Eritrea, EritreaCurrency, Eritrean nakfa]
-
A.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
B.
currencyNameInKinyarwanda
Indicates the name used for a given currency when expressed in the Kinyarwanda language.
-
C.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
D.
currencySignAdopted
Indicates that a particular currency sign has been officially adopted for use with a given currency or monetary system.
-
E.
valueRelativeToAkçe
Indicates the value of something expressed in terms of, or relative to, the akçe monetary unit.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 2:18 p.m.