Triple
T24181483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Museum |
E599436
|
entity |
| Predicate | operatedAtVenueType |
P43750
|
FINISHED |
| Object | auto racing circuit |
—
|
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: auto racing circuit | Statement: [Hall of Fame Museum, operatedAtVenueType, auto racing circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAtVenueType Context triple: [Hall of Fame Museum, operatedAtVenueType, auto racing circuit]
-
A.
locatedInOperatedVenue
Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
-
B.
locatedInVenueType
Indicates that an entity is situated within or associated with a venue of a specific type (e.g., stadium, theater, restaurant).
-
C.
venueTypeOperated
chosen
Indicates that an entity operates or manages a venue of a specified type.
-
D.
recordedAtVenueType
Indicates that an event or recording took place at a venue of a specified type (e.g., studio, concert hall, stadium).
-
E.
performedAtVenue
Indicates that an event or performance took place at a specific venue or location.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.