Triple
T9590007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KPW |
E231391
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | JPY |
E2129
|
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: JPY | Statement: [KPW, isDistinctFrom, JPY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JPY Context triple: [KPW, isDistinctFrom, JPY]
-
A.
Japanese yen
chosen
The Japanese yen is Japan's official fiat currency and one of the world's most traded reserve currencies in global foreign exchange markets.
-
B.
Yen
Yen is a nimble and acrobatic member of Danny Ocean’s heist crew in the Ocean’s film series, renowned for his contortionist skills.
-
C.
JPX
JPX is the common abbreviation for Japan Exchange Group, the operator of major Japanese financial securities exchanges including the Tokyo Stock Exchange.
-
D.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
-
E.
JPN
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f32e688190bb13bccfa5031f16 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161880adc819090a9be75ba2a1642 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.