Triple
T30780989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1931 World Series |
E783810
|
entity |
| Predicate | cityOfHomeGamesWinningTeam |
P170127
|
FINISHED |
| Object | St. Louis |
—
|
NE NERFINISHED |
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: St. Louis | Statement: [1931 World Series, cityOfHomeGamesWinningTeam, St. Louis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfHomeGamesWinningTeam Context triple: [1931 World Series, cityOfHomeGamesWinningTeam, St. Louis]
-
A.
homeCityOfRivalTeam
Indicates the city that serves as the home base for a team’s rival.
-
B.
teamCityOfFranchiseOwned
Indicates that a particular city serves as the home or base city for a sports franchise that is owned by a specified owner.
-
C.
awayTeamCity
Indicates the city that the away (visiting) team is from in a sporting event or competition.
-
D.
locationTeam1City
Indicates the city where the first team involved in the relationship is located.
-
E.
cityOfChampionHomeArena
Indicates that a city is the home location of the arena where a champion’s team or individual competitor plays or competes.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe42e448190842c62524baf9abc |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:41 p.m.