Triple
T4085208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City Monarchs |
E87572
|
entity |
| Predicate | NegroLeagueWorldSeriesTitles |
P52911
|
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: [Kansas City Monarchs, NegroLeagueWorldSeriesTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NegroLeagueWorldSeriesTitles Context triple: [Kansas City Monarchs, NegroLeagueWorldSeriesTitles, 4]
-
A.
playedNegroWorldSeriesAgainst
Indicates that one team competed against another team in a Negro World Series matchup.
-
B.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
C.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
D.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
E.
worldSeriesTitleAsPlayerYear
Indicates the specific year in which an individual, in their role as a player, won a World Series title.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7b7cc4819089cfbf2b1c23ccc5 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.