Triple
T36679444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British and Irish Lions tour to South Africa 2009 |
E905636
|
entity |
| Predicate | overallMatchesLostByLions |
P156353
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [British and Irish Lions tour to South Africa 2009, overallMatchesLostByLions, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallMatchesLostByLions Context triple: [British and Irish Lions tour to South Africa 2009, overallMatchesLostByLions, 2]
-
A.
matchesLostByLions
chosen
Indicates the matches in which the Lions team was defeated or failed to win.
-
B.
overallMatchesWonByLions
Indicates the total number of matches that the Lions team has won across all relevant competitions or time periods.
-
C.
matchesLostLeague
Indicates the number of league matches that an entity has lost.
-
D.
gamesLostBy
Indicates the number of games that one entity has been defeated in by another entity.
-
E.
mostGamesLostBy
Indicates that one entity holds the record for having lost the greatest number of games to another entity.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.