Triple
T18318849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Lane |
E438816
|
entity |
| Predicate | raceClassOf2021 Irish Derby |
P131343
|
FINISHED |
| Object | Group 1 |
—
|
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: Group 1 | Statement: [Hurricane Lane, raceClassOf2021 Irish Derby, Group 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceClassOf2021 Irish Derby Context triple: [Hurricane Lane, raceClassOf2021 Irish Derby, Group 1]
-
A.
KentuckyDerbyTime
Indicates that a specified time value corresponds to when the Kentucky Derby race takes place or took place.
-
B.
BelmontStakesTime
Indicates the time at which the Belmont Stakes event takes place.
-
C.
EpsomDerbyEdition
Indicates a specific annual running or edition of the Epsom Derby horse race.
-
D.
horseOfTheYearCampaignFor
Indicates that an entity conducted or was involved in a campaign promoting a particular horse for a Horse of the Year title or award.
-
E.
mostSuccessfulHorse
Indicates that the subject is the horse with the greatest level of success (e.g., wins, earnings, or titles) within a specified group or context.
- F. None of above. chosen
Provenance (4 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.