Triple
T6003929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2026 FIFA World Cup |
E133661
|
entity |
| Predicate | firstWorldCupWithThreeJointHosts |
P41048
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2026 FIFA World Cup, firstWorldCupWithThreeJointHosts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupWithThreeJointHosts Context triple: [2026 FIFA World Cup, firstWorldCupWithThreeJointHosts, true]
-
A.
firstWorldCupAfter
Indicates that one event is the first World Cup held after another specified event or point in time.
-
B.
wasFirstWorldCupWith
chosen
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
-
C.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
D.
isFirstWorldCupHeldIn
Indicates that a country's first participation in the FIFA World Cup took place in the specified host nation or location.
-
E.
thirdTimeCountryHostedSummerGames
Indicates that a country is hosting the Summer Olympic Games for the third time in its history.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.