Triple
T14288773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia women’s national rugby sevens team |
E354251
|
entity |
| Predicate | firstOlympicRugbySevensChampion |
P113637
|
FINISHED |
| Object | women’s tournament |
—
|
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: women’s tournament | Statement: [Australia women’s national rugby sevens team, firstOlympicRugbySevensChampion, women’s tournament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOlympicRugbySevensChampion Context triple: [Australia women’s national rugby sevens team, firstOlympicRugbySevensChampion, women’s tournament]
-
A.
worldCupSevensTitles
Indicates the number of World Cup Sevens championship titles an entity has won.
-
B.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
C.
firstRugbyWorldCupAppearance
Indicates the event or year in which an entity (typically a team or nation) participated in the Rugby World Cup for the first time.
-
D.
hasRugbySevensCounterpart
Indicates that one entity serves as the corresponding or equivalent version of another entity specifically in the context of rugby sevens.
-
E.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:11 a.m.