Triple
T24321877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2027 FIFA Women’s World Cup |
E612987
|
entity |
| Predicate | selectionMethodForHost |
P77434
|
FINISHED |
| Object | FIFA Congress vote |
—
|
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: FIFA Congress vote | Statement: [2027 FIFA Women’s World Cup, selectionMethodForHost, FIFA Congress vote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionMethodForHost Context triple: [2027 FIFA Women’s World Cup, selectionMethodForHost, FIFA Congress vote]
-
A.
hostSelection
Indicates the choice or designation of a particular host from a set of possible hosts for a given purpose or interaction.
-
B.
typicalHostSelection
Indicates the usual or preferred choice of host entity that is selected in a given context or process.
-
C.
delegateSelectionMethod
Indicates the method or process by which responsibility or authority is assigned from one entity to another.
-
D.
entrySelectionMethod
Indicates the method or criteria used to select or admit an entity into a particular group, system, or context.
-
E.
qualificationMethodOfHost
chosen
Indicates the method or process by which a host qualifies or is determined to be eligible for a particular role, status, or participation.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ac7fc08190993f707f2f97e7f5 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:51 a.m.