Triple
T5867019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina men's national basketball team |
E130418
|
entity |
| Predicate | firstFIBAWorldCupHostYear |
P27777
|
FINISHED |
| Object | 1950 |
—
|
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: 1950 | Statement: [Argentina men's national basketball team, firstFIBAWorldCupHostYear, 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFIBAWorldCupHostYear Context triple: [Argentina men's national basketball team, firstFIBAWorldCupHostYear, 1950]
-
A.
fibaWorldCupDebut
Indicates the event or year in which an entity (typically a national basketball team) first participated in the FIBA Basketball World Cup.
-
B.
isFirstWorldCupHeldIn
Indicates that a country's first participation in the FIFA World Cup took place in the specified host nation or location.
-
C.
firstTournamentHost
chosen
Indicates that the subject entity is the first host of a particular tournament or competition.
-
D.
FIBAWorldChampionshipGoldMedal
Indicates that an entity has won a gold medal at the FIBA Basketball World Championship.
-
E.
wasFirstWorldCupWith
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.