Triple
T18626674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Tong card |
E455301
|
entity |
| Predicate | supportsDiscounts |
P132445
|
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: [Shenzhen Tong card, supportsDiscounts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDiscounts Context triple: [Shenzhen Tong card, supportsDiscounts, true]
-
A.
offersDiscountsOn
Indicates that one entity provides price reductions or special discount deals specifically applied to another entity or its associated items or services.
-
B.
supportsAgeDiscounts
Indicates that the subject entity offers or honors special pricing or discounts based on a person's age.
-
C.
supportsInStorePromotions
Indicates that an entity enables or accommodates promotional activities conducted within a physical store environment.
-
D.
supportsTransitDiscounts
Indicates that an entity provides or enables discounted fares or pricing for public transit services.
-
E.
discountRate
Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
- F. None of above. chosen
Provenance (4 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0581f0819083c1aba9fb85f6a7 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e485f5d1588190b44f31cbc54c0a9d |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 11:46 a.m.