Triple
T36482322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior All Whites |
E898847
|
entity |
| Predicate | firstFIFA_U20_WorldCupAppearance |
P75560
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Junior All Whites, firstFIFA_U20_WorldCupAppearance, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFIFA_U20_WorldCupAppearance Context triple: [Junior All Whites, firstFIFA_U20_WorldCupAppearance, 2007]
-
A.
firstFIFA_U20WWC_appearance
Indicates the event or time when an entity (typically a national team) made its debut appearance in the FIFA U-20 Women's World Cup.
-
B.
firstFIFA U-20 World CupAppearance
chosen
Indicates the event or year in which an entity made its debut appearance in the FIFA U-20 World Cup tournament.
-
C.
fifaU20WorldCupFirstParticipation
Indicates the event or year in which an entity (typically a national team) first took part in the FIFA U-20 World Cup.
-
D.
fifaU20WorldCupAppearances
Indicates the number of times an entity has participated in the FIFA U-20 World Cup tournament.
-
E.
fifaU20WorldCupQuarterFinalAppearances
Indicates the number of times an entity has reached the quarter-final stage of the FIFA U-20 World Cup tournament.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.