Triple
T24868038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Rugby League World Cup |
E622339
|
entity |
| Predicate | womenDefendingChampionRetainedTitle |
P63959
|
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: [2021 Rugby League World Cup, womenDefendingChampionRetainedTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenDefendingChampionRetainedTitle Context triple: [2021 Rugby League World Cup, womenDefendingChampionRetainedTitle, true]
-
A.
defendingChampionRetainedTitle
chosen
Indicates that the current defending champion successfully kept their title in the subsequent competition or event.
-
B.
numberOfWomensTitleReigns
Indicates the count of times an entity has held a women’s title or championship.
-
C.
hasWomenChampionship
Indicates that an entity organizes, hosts, or is associated with a championship specifically for women.
-
D.
associatedWomanOfVictory
Indicates a relationship in which a woman is connected or linked to a particular victory, such as by contributing to, representing, or being honored in relation to that victory.
-
E.
womenVaultChampion
Indicates that the subject is the champion in a women's vault competition or event.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:23 a.m.