Triple
T7000559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Bank of Poland |
E162326
|
entity |
| Predicate | currencyCodeManaged |
P18116
|
FINISHED |
| Object | PLN |
E134523
|
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: PLN | Statement: [National Bank of Poland, currencyCodeManaged, PLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLN Context triple: [National Bank of Poland, currencyCodeManaged, PLN]
-
A.
PLN
chosen
PLN is the Polish złoty, the official national currency of Poland.
-
B.
PLN
PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
-
C.
PLN
PLN is a major social-democratic political party in Costa Rica, formally known as the National Liberation Party.
-
D.
Perusahaan Listrik Negara
Perusahaan Listrik Negara is Indonesia’s state-owned electricity company responsible for generating, transmitting, and distributing electric power across the country.
-
E.
PT Pembangkitan Jawa-Bali
PT Pembangkitan Jawa-Bali is an Indonesian power generation company that operates and manages major electricity assets, including large hydropower facilities.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.