Triple
T26646047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1970 American League Championship Series |
E668909
|
entity |
| Predicate | winningStreakByChampion |
P161083
|
FINISHED |
| Object | 3 consecutive games |
—
|
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: 3 consecutive games | Statement: [1970 American League Championship Series, winningStreakByChampion, 3 consecutive games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningStreakByChampion Context triple: [1970 American League Championship Series, winningStreakByChampion, 3 consecutive games]
-
A.
championWinLossRecord
Indicates the win–loss performance record of a champion in competitive contexts.
-
B.
championRegularSeasonWins
Indicates that an entity is the champion based on having the highest number of regular season wins.
-
C.
championWins
Indicates that a champion emerges victorious in a competition, match, or contest.
-
D.
winningStreakEndDate
Indicates the date on which an entity’s winning streak comes to an end.
-
E.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61675230c8190b86209ef1beeaf87 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:31 a.m.