Triple
T23576046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Epic in Miami |
E580259
|
entity |
| Predicate | hasNumberOfOvertimes |
P5853
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [The Epic in Miami, hasNumberOfOvertimes, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfOvertimes Context triple: [The Epic in Miami, hasNumberOfOvertimes, 1]
-
A.
game7Overtimes
Indicates that a game extended into a seventh overtime period, reflecting an exceptionally prolonged and closely contested match.
-
B.
overtimePlayed
chosen
Indicates that an activity, event, or game continued beyond its regular or scheduled duration into an additional overtime period.
-
C.
longestGameOvertimes
Indicates the number of overtime periods played in the longest game (by duration or overtime count) within a given context.
-
D.
regularSeasonOvertimeLosses
Indicates the number of games a team lost in overtime during the regular season.
-
E.
pointsForOvertimeOrShootoutWin
Indicates that a team is awarded points specifically for winning a game in overtime or a shootout.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd6608481909a0d293ba8f65b2b |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.