Triple
T11309932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 摂南大学 |
E267809
|
entity |
| Predicate | 所在国通貨 |
P78277
|
FINISHED |
| Object | 日本円 |
—
|
LITERAL 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: 日本円 | Statement: [摂南大学, 所在国通貨, 日本円]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在国通貨 Context triple: [摂南大学, 所在国通貨, 日本円]
-
A.
localCurrency
chosen
Indicates that a particular currency is officially used or recognized as the standard medium of exchange within a specific locality, region, or country.
-
B.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
-
C.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
D.
currencyOfIssuance
Indicates the currency in which a financial instrument, obligation, or value is originally issued or denominated.
-
E.
officialNameOfCurrency
Indicates the officially designated name of a particular currency used by an entity.
- F. None of above.
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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.