Triple
T945462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizens Bank Park |
E20400
|
entity |
| Predicate | outfieldWallDistance |
P22064
|
FINISHED |
| Object | 401 feet to center field |
—
|
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: 401 feet to center field | Statement: [Citizens Bank Park, outfieldWallDistance, 401 feet to center field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outfieldWallDistance Context triple: [Citizens Bank Park, outfieldWallDistance, 401 feet to center field]
-
A.
distanceToHomePlate
Indicates the measured distance between an entity’s current position and home plate.
-
B.
gameWinningFieldGoalDistance
Indicates the distance from which a decisive, game-winning field goal was successfully kicked.
-
C.
distanceFromSunToWall
Indicates the measured spatial distance between the Sun and a specified wall.
-
D.
interceptionYardLine
Indicates the yard line on the field where an interception occurs during a play.
-
E.
hasOutfieldWallCovering
Indicates that an outfield wall is covered or surfaced with a particular material or type of covering.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.