Triple
T14399246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Bertilak |
E357026
|
entity |
| Predicate | bargainType |
P101426
|
FINISHED |
| Object | exchange of winnings |
—
|
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: exchange of winnings | Statement: [Lord Bertilak, bargainType, exchange of winnings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bargainType Context triple: [Lord Bertilak, bargainType, exchange of winnings]
-
A.
typeOfDeal
chosen
Indicates the specific category or nature of a deal or agreement that applies between entities.
-
B.
saleType
Indicates the specific category or method by which a sale is conducted or classified (e.g., retail, wholesale, auction).
-
C.
couponType
Indicates the specific category or kind of coupon associated with an offer or transaction.
-
D.
originalBidType
Indicates the type or category of an entity’s initial or first-submitted bid in a bidding or auction context.
-
E.
discountMechanism
Indicates a relationship where one entity defines the method, rule, or process by which a discount is calculated, applied, or granted to another 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.