Triple
T11847469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | basketball at the 1964 Summer Olympics |
E281814
|
entity |
| Predicate | numberOfGroupsInPreliminaryRound |
P101830
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [basketball at the 1964 Summer Olympics, numberOfGroupsInPreliminaryRound, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGroupsInPreliminaryRound Context triple: [basketball at the 1964 Summer Olympics, numberOfGroupsInPreliminaryRound, 2]
-
A.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
C.
hasPreliminaryRounds
Indicates that an event, competition, or process includes one or more initial qualifying rounds before the main or final stage.
-
D.
hasGroupStage
Indicates that an entity includes, participates in, or is associated with a specific group stage within a larger multi-stage structure or process.
-
E.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
- 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.