Triple
T37432612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiana Club miles |
E930181
|
entity |
| Predicate | areNonCash |
P94912
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Asiana Club miles, areNonCash, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areNonCash Context triple: [Asiana Club miles, areNonCash, true]
-
A.
notPhysicalCash
Indicates that the transaction, payment, or value transfer does not involve tangible paper money or coins, but instead uses non-cash forms such as digital, electronic, or other non-physical means.
-
B.
isNonCashAward
chosen
Indicates that an award is given in a form other than cash, such as goods, services, or other non-monetary benefits.
-
C.
isNonElectronic
Indicates that the related item does not involve, use, or depend on electronic components or technology.
-
D.
hasCashForm
Indicates that something exists or is available specifically in the form of cash.
-
E.
nonMonetary
Indicates that the relationship or transaction occurs without the exchange or involvement of money or financial compensation.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.