Triple
T29792899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Popular Demand |
E756458
|
entity |
| Predicate | hasCustomerReception |
P66549
|
FINISHED |
| Object | strong customer appeal |
—
|
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: strong customer appeal | Statement: [Popular Demand, hasCustomerReception, strong customer appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerReception Context triple: [Popular Demand, hasCustomerReception, strong customer appeal]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
hasOnlineReception
Indicates that an entity provides or supports a reception, front-desk, or greeting function through online or digital channels rather than solely in person.
-
C.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
-
D.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
E.
hasReviewReception
chosen
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 29, 2026, 5:13 p.m.