Triple
T5884472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kids’ Night on Broadway |
E130826
|
entity |
| Predicate | typeOfDiscount |
P7916
|
FINISHED |
| Object | buy-one-get-one for adult and child in many offers |
—
|
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: buy-one-get-one for adult and child in many offers | Statement: [Kids’ Night on Broadway, typeOfDiscount, buy-one-get-one for adult and child in many offers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDiscount Context triple: [Kids’ Night on Broadway, typeOfDiscount, buy-one-get-one for adult and child in many offers]
-
A.
discountRate
Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
-
B.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
C.
typeOfIncentive
chosen
Indicates the specific kind or category of incentive associated with an entity or action.
-
D.
singlePersonDiscountRate
Indicates the discount rate that applies specifically to an individual (single) person.
-
E.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.