Triple
T19964839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference champion |
E479903
|
entity |
| Predicate | numberOfRoundsToWin |
P138050
|
FINISHED |
| Object | three Western Conference playoff rounds |
—
|
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: three Western Conference playoff rounds | Statement: [Western Conference champion, numberOfRoundsToWin, three Western Conference playoff rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRoundsToWin Context triple: [Western Conference champion, numberOfRoundsToWin, three Western Conference playoff rounds]
-
A.
numberOfWinsRequired
Indicates the specific count of wins an entity must achieve to meet a defined goal, threshold, or condition.
-
B.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
C.
numberOfTurns
Indicates the total count of discrete turns or rotations involved in an interaction, process, or motion.
-
D.
numberOfGamesInMatch
Indicates the total count of individual games that make up a single match.
-
E.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4417c8190912f3d85fd7a5a32 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.