Triple
T1400950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Mack Stadium |
E30779
|
entity |
| Predicate | namedConnieMackStadiumFrom |
P16285
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Connie Mack Stadium, namedConnieMackStadiumFrom, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedConnieMackStadiumFrom Context triple: [Connie Mack Stadium, namedConnieMackStadiumFrom, 1953]
-
A.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
-
B.
ALTeamBallpark
Indicates that an American League baseball team is associated with or plays its home games in a particular ballpark.
-
C.
oneOfOldestMLBStadiums
Indicates that the subject is among the oldest Major League Baseball stadiums still in existence or use.
-
D.
hostStadium
Indicates that a particular stadium serves as the venue where an event, team, or competition is hosted.
-
E.
ballparkFormerName
chosen
Indicates that one name was previously used as the official name of a particular ballpark before it was changed.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39da20c8190b9c82cc4ad747c66 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.