Triple
T29710328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup group tiebreaking criteria |
E751760
|
entity |
| Predicate | fairPlayPointsBasedOn |
P139572
|
FINISHED |
| Object | yellow cards |
—
|
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: yellow cards | Statement: [FIFA World Cup group tiebreaking criteria, fairPlayPointsBasedOn, yellow cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairPlayPointsBasedOn Context triple: [FIFA World Cup group tiebreaking criteria, fairPlayPointsBasedOn, yellow cards]
-
A.
fairPlayAspect
chosen
Indicates that the relationship or action pertains to an aspect or dimension of fair play, such as fairness, sportsmanship, or equitable conduct within a rule-governed context.
-
B.
fairPlayAwardTeam
Indicates that a team has been recognized with a fair play award for exemplary sportsmanship or ethical conduct in competition.
-
C.
basedOnPlayBy
Indicates that something (typically a creative work) is derived or adapted from a play authored by a specified entity.
-
D.
scoreBeforePlay
Indicates that a particular score or point total existed prior to a specific play or action occurring.
-
E.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:30 p.m.