Triple
T5382280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barber Motorsports Park |
E113113
|
entity |
| Predicate | museumHouses |
P32052
|
FINISHED |
| Object | large collection of motorcycles |
—
|
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: large collection of motorcycles | Statement: [Barber Motorsports Park, museumHouses, large collection of motorcycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumHouses Context triple: [Barber Motorsports Park, museumHouses, large collection of motorcycles]
-
A.
museumHolds
chosen
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
B.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
C.
majorMuseum
Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
-
D.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
E.
museumCity
Indicates the city in which a given museum is located.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86d163f88190939638d44fcb24a7 |
completed | March 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.