Triple
T723029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truist Park |
E14658
|
entity |
| Predicate | hasBullpenLocation |
P15043
|
FINISHED |
| Object | bullpens located beyond outfield fence |
—
|
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: bullpens located beyond outfield fence | Statement: [Truist Park, hasBullpenLocation, bullpens located beyond outfield fence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBullpenLocation Context triple: [Truist Park, hasBullpenLocation, bullpens located beyond outfield fence]
-
A.
hasBullpens
chosen
Indicates that one entity possesses or includes one or more bullpens associated with it.
-
B.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
C.
hasBattingCages
Indicates that a place or facility includes or provides access to batting cages for practice or recreation.
-
D.
leagueChampionHomeBallpark
Indicates the ballpark that serves as the home venue for the team that won the league championship.
-
E.
associatedWithBallpark
Indicates that an entity has a relationship or connection to a specific ballpark, such as location, operation, or affiliation.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.