Triple
T18628081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foz do Iguaçu Futebol Clube |
E455334
|
entity |
| Predicate | usesFootballRules |
P107715
|
FINISHED |
| Object | Laws of the Game |
—
|
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: Laws of the Game | Statement: [Foz do Iguaçu Futebol Clube, usesFootballRules, Laws of the Game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFootballRules Context triple: [Foz do Iguaçu Futebol Clube, usesFootballRules, Laws of the Game]
-
A.
playsAssociationFootballUnderRulesOf
chosen
Indicates that one entity participates in association football following the rules or regulations established by another entity.
-
B.
usesAmericanRules
Indicates that the action, process, or system is conducted according to American rules or standards rather than other rule sets.
-
C.
sportRules
Indicates that there is a set of rules or regulations governing how a particular sport is played or conducted.
-
D.
hasRuleDifferenceFromNFL
Indicates that the subject’s rules differ in some way from those used in the NFL.
-
E.
fifaEligibilityRule
Indicates that a person meets the official criteria set by FIFA to represent a particular national team in international football competitions.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f063a1c819087e544c64f5cf80f |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.