Triple
T34639252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga national rugby union championship |
E889510
|
entity |
| Predicate | teamBasedCompetition |
P51022
|
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: [Tonga national rugby union championship, teamBasedCompetition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamBasedCompetition Context triple: [Tonga national rugby union championship, teamBasedCompetition, true]
-
A.
isTeamCompetition
chosen
Indicates that the competition involves participants organized into teams competing against each other rather than as individuals.
-
B.
leagueSport
Indicates that a particular sport is the official or primary sport associated with a given league.
-
C.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
D.
sportsTenant
Indicates that one entity occupies or uses a sports facility or venue as a tenant under some form of agreement or arrangement.
-
E.
sportsCluster
Indicates that the entities are grouped together based on a shared association with sports, such as similar sports-related characteristics, activities, or contexts.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.