Triple
T3803175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PK Park |
E91737
|
entity |
| Predicate | distanceToCenterField |
P51845
|
FINISHED |
| Object | 400 ft |
—
|
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: 400 ft | Statement: [PK Park, distanceToCenterField, 400 ft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCenterField Context triple: [PK Park, distanceToCenterField, 400 ft]
-
A.
centeredOnField
Indicates that one entity is positioned or focused around the central area of a specified field or domain.
-
B.
distanceToHomePlate
Indicates the measured distance between an entity’s current position and home plate.
-
C.
outfieldWallDistance
Indicates the measured distance from home plate to the outfield wall at a particular point or area on the field.
-
D.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
E.
distanceToBorder
Indicates the measured or estimated spatial separation between a given entity or location and the nearest relevant border or boundary.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:15 p.m.