Triple
T1405106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish złoty |
E31673
|
entity |
| Predicate | ISO4217Code |
P189
|
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: [Polish złoty, ISO4217Code, PLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLN Context triple: [Polish złoty, ISO4217Code, PLN]
-
A.
PLN
chosen
PLN is the Polish złoty, the official national currency of Poland.
-
B.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
C.
Rural Electrification Administration
The Rural Electrification Administration was a New Deal-era U.S. government agency that financed and promoted the extension of electric power to rural and farm areas across the country.
-
D.
PLMW
PLMW (Programming Languages Mentoring Workshop) is an academic workshop series that introduces and mentors students, especially those new to the field, in programming languages research and the PL community.
-
E.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bc55a08190a4dfe13a5378aff3 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace573b9288190ac91d8f6ea94fa20 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.