Triple
T32170314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 British & Irish Lions tour to South Africa |
E821691
|
entity |
| Predicate | touringSideRepresents |
P174444
|
FINISHED |
| Object | England rugby union |
—
|
NE NERFINISHED |
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: England rugby union | Statement: [2021 British & Irish Lions tour to South Africa, touringSideRepresents, England rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touringSideRepresents Context triple: [2021 British & Irish Lions tour to South Africa, touringSideRepresents, England rugby union]
-
A.
touringSide
Indicates that one entity is the visiting or traveling side (e.g., team, group, or performer) in relation to another entity that is hosting or being visited.
-
B.
touringScope
Indicates the extent or range of locations, venues, or areas covered by an entity’s tour or touring activity.
-
C.
touringStyle
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
D.
tourSupportFor
Indicates that one entity provides support for another entity’s tour, such as by sponsoring, organizing, or assisting with its execution.
-
E.
touringTeam
Indicates that a team is traveling to different locations to play matches or perform in a series of scheduled events.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.