Triple
T13869706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Conference Semifinals |
E333416
|
entity |
| Predicate | minimumGamesToWinSeries |
P27982
|
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: [NBA Conference Semifinals, minimumGamesToWinSeries, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumGamesToWinSeries Context triple: [NBA Conference Semifinals, minimumGamesToWinSeries, 4]
-
A.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
B.
numberOfWinsRequired
chosen
Indicates the specific count of wins an entity must achieve to meet a defined goal, threshold, or condition.
-
C.
numberOfGamesInMatch
Indicates the total count of individual games that make up a single match.
-
D.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
-
E.
typicalNumberOfMatchesPerSeries
Indicates the usual or standard count of matches that are played within a single series.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.