Triple
T3214458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiz Kids |
E67356
|
entity |
| Predicate | WorldSeriesGames |
P46250
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Whiz Kids, WorldSeriesGames, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesGames Context triple: [Whiz Kids, WorldSeriesGames, 4]
-
A.
WorldSeriesGamesLost
Indicates the number of World Series games that a team has lost in a given World Series or across World Series appearances.
-
B.
worldSeriesGamesHosted
Indicates that the subject has hosted one or more World Series baseball games, with the object specifying which games or how many were hosted.
-
C.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
D.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
-
E.
secondWorldSeriesChampionship
Indicates that the subject has won its second World Series championship title.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.