Triple
T18908918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Association of the Czech Republic |
E462545
|
entity |
| Predicate | affiliationStartWithFIFA |
P14831
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Football Association of the Czech Republic, affiliationStartWithFIFA, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliationStartWithFIFA Context triple: [Football Association of the Czech Republic, affiliationStartWithFIFA, 1994]
-
A.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
B.
fifaAffiliationThrough
Indicates a formal connection or membership between an entity and FIFA that is established or mediated through an intermediate organization, agreement, or mechanism.
-
C.
fifaAffiliationDate
chosen
Indicates the date on which an entity formally became affiliated with FIFA.
-
D.
hasInternationalFederationMembership
Indicates that an entity is a member of an international federation or governing body.
-
E.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52eed1881908929dace845ae008 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.