Triple
T29710332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup group tiebreaking criteria |
E751760
|
entity |
| Predicate | fairPlayPointsEffect |
P77094
|
FINISHED |
| Object | deduct points from fair play score |
—
|
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: deduct points from fair play score | Statement: [FIFA World Cup group tiebreaking criteria, fairPlayPointsEffect, deduct points from fair play score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairPlayPointsEffect Context triple: [FIFA World Cup group tiebreaking criteria, fairPlayPointsEffect, deduct points from fair play score]
-
A.
fairPlayAspect
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.
scoreEffect
chosen
Indicates the impact or change that an action, event, or condition has on a score or scoring outcome.
-
D.
gameplayImpact
Indicates how one element in a game affects the mechanics, difficulty, or overall experience of playing that game.
-
E.
scoreAfterPlay
Indicates the numerical score that results immediately after a specific play or action has been completed.
- 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_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 7:30 p.m.