Triple
T6733264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Green Party |
E153689
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | EGP |
E4066
|
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: EGP | Statement: [European Green Party, shortName, EGP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGP Context triple: [European Green Party, shortName, EGP]
-
A.
Egyptian pound
chosen
The Egyptian pound is the official monetary unit of Egypt, used for everyday transactions, pricing, and financial operations throughout the country.
-
B.
Sudanese pound
The Sudanese pound is the official monetary unit of Sudan, used for everyday transactions and economic activities within the country.
-
C.
Sudanese dinar
The Sudanese dinar was the former currency of Sudan, used mainly in the 1990s and early 2000s before being replaced by a reintroduced Sudanese pound.
-
D.
EGYD
EGYD is the ICAO airport code for RAF Cranwell, a Royal Air Force training station in Lincolnshire, England.
-
E.
Libyan dinar
The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ba51c81908dbf56b49d8360a8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0502d081909662028e2b40c7f3 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.