Triple
T30134190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1978 FIFA World Cup qualification |
E765939
|
entity |
| Predicate | hostQualifiedAutomatically |
P125854
|
FINISHED |
| Object | Argentina |
—
|
NE NERFINISHED |
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: Argentina | Statement: [1978 FIFA World Cup qualification, hostQualifiedAutomatically, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostQualifiedAutomatically Context triple: [1978 FIFA World Cup qualification, hostQualifiedAutomatically, Argentina]
-
A.
qualifiedAsHost
Indicates that an entity has met the necessary criteria or standards to serve in the role of a host.
-
B.
hostAssociationQualifier
Indicates a qualifier that specifies or refines the nature of the association between a host and another entity.
-
C.
usesHost
Indicates that one entity makes use of another entity as its host or hosting environment in order to function, operate, or reside.
-
D.
automaticQualifier
Indicates that a property or classification is assigned automatically by a system or rule, rather than being manually specified.
-
E.
hostNationAutomaticQualification
chosen
Indicates that a nation automatically qualifies for an event or competition by virtue of being the host country.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4b8e4c8190ac23fef21a55d5f0 |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:16 p.m.