Triple
T37192042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fasig-Tipton sales |
E921482
|
entity |
| Predicate | notableSaleType |
P30531
|
FINISHED |
| Object | yearling sale |
—
|
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: yearling sale | Statement: [Fasig-Tipton sales, notableSaleType, yearling sale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSaleType Context triple: [Fasig-Tipton sales, notableSaleType, yearling sale]
-
A.
saleType
chosen
Indicates the specific category or method by which a sale is conducted or classified (e.g., retail, wholesale, auction).
-
B.
subjectOfSale
Indicates that one entity is the item, asset, or right being transferred or offered in a sale transaction involving another entity.
-
C.
typeOfDeal
Indicates the specific category or nature of a deal or agreement that applies between entities.
-
D.
recordAtSale
Indicates that something is documented or captured at the time a sale transaction occurs.
-
E.
associatedSingleSales
Indicates that there is a specific, single sales record or transaction linked to the 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.