Triple
T29685495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bank of issue |
E751071
|
entity |
| Predicate | legalStatusOfNotes |
P2878
|
FINISHED |
| Object | legal tender |
—
|
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: legal tender | Statement: [bank of issue, legalStatusOfNotes, legal tender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfNotes Context triple: [bank of issue, legalStatusOfNotes, legal tender]
-
A.
wasLegalTender
Indicates that something was officially recognized as valid money for settling debts or transactions within a particular jurisdiction and time period.
-
B.
legalTenderUse
Indicates the use or acceptance of something as official legal tender for payment or settlement of obligations.
-
C.
notLegalTenderIn
Indicates that a form of money is not officially recognized as acceptable payment within a specified jurisdiction or region.
-
D.
legalStatusNote
Indicates a note or comment that provides additional information or clarification about the legal status of something.
-
E.
isLegalTenderFor
chosen
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.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 28, 2026, 7:13 p.m.