Triple
T21896547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children’s Games |
E540692
|
entity |
| Predicate | numberOfGamesDepicted |
P146091
|
FINISHED |
| Object | over 80 |
—
|
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: over 80 | Statement: [Children’s Games, numberOfGamesDepicted, over 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesDepicted Context triple: [Children’s Games, numberOfGamesDepicted, over 80]
-
A.
gamesOf
Indicates a relationship where one entity is the set, list, or collection of games associated with another entity.
-
B.
homeGamesPlayedBy
Indicates the number or set of home games that are played by a particular team or player.
-
C.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
D.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
E.
replacementGamesCount
Indicates the number of substitute or replacement games associated with an event, schedule, or entity.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc700c08190a470fe1ad76c8509 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:07 p.m.