Triple
T9774689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Farrell |
E237216
|
entity |
| Predicate | LionsTourParticipation |
P90574
|
FINISHED |
| Object | 2013 British & Irish Lions tour to Australia |
—
|
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: 2013 British & Irish Lions tour to Australia | Statement: [Owen Farrell, LionsTourParticipation, 2013 British & Irish Lions tour to Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LionsTourParticipation Context triple: [Owen Farrell, LionsTourParticipation, 2013 British & Irish Lions tour to Australia]
-
A.
performedOnTourWith
Indicates that one entity carried out a tour in conjunction with, or as part of, another entity’s tour.
-
B.
t20WorldCupParticipation
Indicates that an entity took part as a team or player in a T20 Cricket World Cup tournament.
-
C.
ryderCupAppearances
Indicates the number of times an entity has participated in the Ryder Cup competition.
-
D.
cricketWorldCupAppearances
Indicates the number of times an entity has participated in the Cricket World Cup tournament.
-
E.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.