Triple
T8357147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Standard of Perfection |
E196708
|
entity |
| Predicate | primaryUseLocation |
P5921
|
FINISHED |
| Object | United States poultry exhibitions |
—
|
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: United States poultry exhibitions | Statement: [American Standard of Perfection, primaryUseLocation, United States poultry exhibitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseLocation Context triple: [American Standard of Perfection, primaryUseLocation, United States poultry exhibitions]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
primaryUseCity
Indicates that a city is the main or principal location where something (such as a service, facility, or entity) is primarily used or operates.
-
C.
primaryVenueFor
chosen
Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
-
D.
primaryHumanUse
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
E.
primaryVenues
Indicates the main or most important venues associated with or used by a given entity.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804b57f88190907a4e4e389caf5f |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.