Triple
T24550146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal women's national football team |
E607336
|
entity |
| Predicate | playsWorldCupQualifiersIn |
P84775
|
FINISHED |
| Object | FIFA competitions |
—
|
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: FIFA competitions | Statement: [Portugal women's national football team, playsWorldCupQualifiersIn, FIFA competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsWorldCupQualifiersIn Context triple: [Portugal women's national football team, playsWorldCupQualifiersIn, FIFA competitions]
-
A.
fifaWorldCupQualifyingParticipation
chosen
Indicates that an entity took part in the qualification stage for a FIFA World Cup tournament.
-
B.
playsWorldCup
Indicates that an entity participates as a player in a FIFA World Cup tournament.
-
C.
representsInWorldCup
Indicates that an entity (such as a player or team) participates as a representative of a country or organization in a FIFA World Cup tournament.
-
D.
playedInWorldCupFor
Indicates that an individual participated as a player in at least one FIFA World Cup tournament representing a specified national team.
-
E.
playsQualificationMatches
Indicates that an entity participates in qualification matches, typically as part of a preliminary stage to qualify for a main event or competition.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8ccddec8190819e6366b3d6b6f0 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.