Triple
T28759143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | football at the 1928 Summer Olympics |
E731757
|
entity |
| Predicate | featuredSouthAmericanTeams |
P197657
|
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: [football at the 1928 Summer Olympics, featuredSouthAmericanTeams, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredSouthAmericanTeams Context triple: [football at the 1928 Summer Olympics, featuredSouthAmericanTeams, true]
-
A.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
B.
qualifiedTeamAsConmebolChampion
Indicates that a team secured qualification to a competition specifically by winning the CONMEBOL championship.
-
C.
continentTeam2
Indicates that the second team is associated with or belongs to a particular continent.
-
D.
continentTeam1
Indicates that the first team is associated with or belongs to a particular continent.
-
E.
featuresUSLLegueOneClubs
Indicates that something includes or highlights clubs that participate in the USL League One competition.
- F. None of above. chosen
Provenance (4 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
| PDg | Predicate description generation | batch_69fea1f4daa88190bd3cc1ace684e77f |
completed | May 9, 2026, 2:54 a.m. |
Created at: April 28, 2026, 6:11 a.m.