Triple
T3214481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiz Kids |
E67356
|
entity |
| Predicate | finishedGamesAheadOfSecondPlace |
P14875
|
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: [Whiz Kids, finishedGamesAheadOfSecondPlace, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finishedGamesAheadOfSecondPlace Context triple: [Whiz Kids, finishedGamesAheadOfSecondPlace, 2]
-
A.
gamesAheadOfSecondPlace
chosen
Indicates the number of games by which a leading competitor is ahead of the team or player currently in second place in the standings.
-
B.
completeGames
Indicates that an entity has finished participating in or playing a game from start to end.
-
C.
gamesWonBy
Indicates the number of games that have been won by a particular entity in a given context.
-
D.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
E.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
- F. None of above.
Provenance (3 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. |
Created at: March 8, 2026, 3:07 p.m.