Triple
T28860958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upperville Colt & Horse Show |
E728858
|
entity |
| Predicate | hasClassOfParticipants |
P2434
|
FINISHED |
| Object | horses |
—
|
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: horses | Statement: [Upperville Colt & Horse Show, hasClassOfParticipants, horses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassOfParticipants Context triple: [Upperville Colt & Horse Show, hasClassOfParticipants, horses]
-
A.
hasParticipants
chosen
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
B.
hasClubParticipantsType
Indicates the type or category of participants involved in a club.
-
C.
hasStudentParticipantsFrom
Indicates that an activity, event, or program includes student participants originating from a specified source, such as an institution, region, or group.
-
D.
hasNonParticipatingMember
Indicates that a group or organization includes at least one member who belongs to it but does not actively participate in its activities or functions.
-
E.
hasParticipantAttribute
Indicates that a participant in an event or relation bears a specific attribute, role, or characteristic within that context.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 28, 2026, 6:47 a.m.