Triple
T37652754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rustan's Department Store |
E937214
|
entity |
| Predicate | customerServiceStyle |
P73829
|
FINISHED |
| Object | attentive |
—
|
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: attentive | Statement: [Rustan's Department Store, customerServiceStyle, attentive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerServiceStyle Context triple: [Rustan's Department Store, customerServiceStyle, attentive]
-
A.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
-
B.
hasCustomerServiceChannel
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
-
C.
serviceUniform
Indicates that one entity is wearing or associated with a standardized uniform used for official or professional service.
-
D.
customerSupport
Indicates that one entity provides assistance, troubleshooting, or service-related help to another entity.
-
E.
deliveryStyle
chosen
Indicates the manner or approach with which something (such as information, a product, or a service) is presented, communicated, or provided to its recipient.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.