Triple
T4963154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's BoardWalk Villas |
E111456
|
entity |
| Predicate | currencyForBooking |
P245
|
FINISHED |
| Object | Disney Vacation Club points |
—
|
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: Disney Vacation Club points | Statement: [Disney's BoardWalk Villas, currencyForBooking, Disney Vacation Club points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyForBooking Context triple: [Disney's BoardWalk Villas, currencyForBooking, Disney Vacation Club points]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currencyPlanned
Indicates that a specific currency is intended or scheduled to be used in a planned transaction, budget, or financial arrangement.
-
C.
currency
chosen
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
D.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
E.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.