Triple
T35676584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Dividend Miles |
E1030875
|
entity |
| Predicate | mileCurrencyName |
P98839
|
FINISHED |
| Object | Dividend Miles |
—
|
NE NERFINISHED |
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: Dividend Miles | Statement: [US Airways Dividend Miles, mileCurrencyName, Dividend Miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mileCurrencyName Context triple: [US Airways Dividend Miles, mileCurrencyName, Dividend Miles]
-
A.
currencyFamily
Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
-
B.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
-
C.
currencyNickname
Indicates that one term is an informal or colloquial nickname used to refer to a particular currency.
-
D.
currencyOfName
chosen
Indicates that one entity is the name (textual designation) of a particular currency associated with another entity.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fe647f081908e651c61ba350ba8 |
completed | May 3, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.