Triple
T15215467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habikino city government |
E363625
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Japanese yen |
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: Japanese yen | Statement: [Habikino city government, currency, Japanese yen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japanese yen Context triple: [Habikino city government, currency, Japanese yen]
-
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 stage play by Anna Jordan that gained prominence through productions featuring actor Lucas Hedges.
-
C.
Yen
Yen is a skilled and formidable assassin featured in the television series "The Continental: From the World of John Wick."
-
D.
Yen
Yen is the Wade–Giles romanization of the Chinese surname commonly spelled "Yan" in pinyin.
-
E.
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.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.