Triple
T36987485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Road |
E915002
|
entity |
| Predicate | hasProgenyThatAreGrade1Winners |
P151108
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Quality Road, hasProgenyThatAreGrade1Winners, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgenyThatAreGrade1Winners Context triple: [Quality Road, hasProgenyThatAreGrade1Winners, true]
-
A.
hasProgenyThatAreStakesWinners
chosen
Indicates that an entity has offspring who have won races classified as stakes events.
-
B.
isGrade1Winner
Indicates that an entity has won a Grade 1-level competition, race, or event.
-
C.
hasAlumniWhoWon
Indicates that an institution has alumni who have won a particular award, honor, or competition.
-
D.
hasBestGrandSlamResult
Indicates the relationship between an entity (e.g., a player) and the best performance or furthest round they have achieved in any Grand Slam tournament.
-
E.
hasTournamentChampions
Indicates that a tournament has one or more entities designated as its champions.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.