Triple
T1501428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Seats |
E33802
|
entity |
| Predicate | homeRunInteraction |
P29387
|
FINISHED |
| Object | balls can land directly in seating area |
—
|
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: balls can land directly in seating area | Statement: [Monster Seats, homeRunInteraction, balls can land directly in seating area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunInteraction Context triple: [Monster Seats, homeRunInteraction, balls can land directly in seating area]
-
A.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
B.
homeRunRate
Indicates the frequency at which a player or team hits home runs relative to a specified number of opportunities (such as at-bats, plate appearances, or games).
-
C.
clinchingHomeRunType
Indicates the specific type or category of a home run that clinches or decisively secures a game, series, or title.
-
D.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
E.
RunsBattedIn
Indicates the number of runs a batter causes to score as a direct result of their plate appearance or action.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a90582f2548190bc0a6bdcd6d9d015 |
completed | March 5, 2026, 4:24 a.m. |
Created at: March 4, 2026, 7:24 p.m.