Triple
T2163764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banco de la República |
E46860
|
entity |
| Predicate | ISO4217CurrencyCodeIssued |
P32242
|
FINISHED |
| Object | COP |
E46859
|
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: COP | Statement: [Banco de la República, ISO4217CurrencyCodeIssued, COP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COP Context triple: [Banco de la República, ISO4217CurrencyCodeIssued, COP]
-
A.
COP
chosen
COP is the official currency code used internationally to represent the Colombian peso.
-
B.
COP
COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
-
C.
COPA
COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
-
D.
COPA
COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
-
E.
CPS
CPS is the principal public agency in England and Wales responsible for prosecuting criminal cases investigated by the police.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8d105c819098371c35c88873dc |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58ee18ac81909f02e2c87000365b |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.