Triple
T28704201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Scott |
E729640
|
entity |
| Predicate | foundedVenueType |
P5179
|
FINISHED |
| Object | jazz club |
—
|
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: jazz club | Statement: [Ronnie Scott, foundedVenueType, jazz club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedVenueType Context triple: [Ronnie Scott, foundedVenueType, jazz club]
-
A.
foundedOrganizationType
chosen
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
B.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
C.
businessFoundedIn
Indicates that a business entity was established or came into existence in a specific location or time.
-
D.
foundedOrganization
Indicates that an entity established or created an organization.
-
E.
foundingLocationOfFoundedOrganization
Indicates the place where an organization was originally established or founded.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 5:44 a.m.