Triple
T19241723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollar Academy |
E481148
|
entity |
| Predicate | hasSportsOffered |
P135320
|
FINISHED |
| Object | rugby union |
—
|
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: rugby union | Statement: [Dollar Academy, hasSportsOffered, rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsOffered Context triple: [Dollar Academy, hasSportsOffered, rugby union]
-
A.
hasSportsService
Indicates that an entity provides or is associated with a sports-related service.
-
B.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
-
C.
hasMajorSport
Indicates that an entity is associated with or participates in a primary or most prominent sport.
-
D.
hasLocalSport
Indicates that a place or community is associated with, supports, or regularly engages in a particular sport at the local level.
-
E.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf2353c819094a9a1af3a858715 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:27 p.m.