Triple
T38604405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouGov |
E934302
|
entity |
| Predicate | hasOnlinePanel |
P42161
|
FINISHED |
| Object | millions of registered respondents |
—
|
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: millions of registered respondents | Statement: [YouGov, hasOnlinePanel, millions of registered respondents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlinePanel Context triple: [YouGov, hasOnlinePanel, millions of registered respondents]
-
A.
hasPanel
chosen
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasOnlineProvision
Indicates that an entity offers or supports a service, feature, or function through an online or internet-based channel.
-
C.
hasOnlinePlatform
Indicates that an entity operates, maintains, or is associated with a presence or service on an online platform.
-
D.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
E.
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.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:32 p.m.