Triple
T11847470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | basketball at the 1964 Summer Olympics |
E281814
|
entity |
| Predicate | teamsPerGroupInPreliminaryRound |
P101831
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [basketball at the 1964 Summer Olympics, teamsPerGroupInPreliminaryRound, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamsPerGroupInPreliminaryRound Context triple: [basketball at the 1964 Summer Olympics, teamsPerGroupInPreliminaryRound, 8]
-
A.
totalTeamsQualifyingFromGroup
Indicates the number of teams that advance from a particular group to the next stage of a competition.
-
B.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
C.
groupStageMatchesPerTeam
Indicates the number of matches each team plays during the group stage of a competition.
-
D.
groupStageGroups
Indicates the grouping of participants or teams into distinct groups within the group stage of a competition or tournament.
-
E.
numberOfRoundRobinGamesPerTeam
Indicates the number of games each team plays in a round-robin competition format.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65c72088190b8de9550c455b788 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.