Triple
T1491729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Field |
E29593
|
entity |
| Predicate | outfieldOrientation |
P16726
|
FINISHED |
| Object | center field faces northeast |
—
|
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: center field faces northeast | Statement: [Target Field, outfieldOrientation, center field faces northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outfieldOrientation Context triple: [Target Field, outfieldOrientation, center field faces northeast]
-
A.
outfieldWallDistance
Indicates the measured distance from home plate to the outfield wall at a particular point or area on the field.
-
B.
outfieldWallHeight
Indicates the height of the wall that defines the boundary of the outfield area in a ballpark or playing field.
-
C.
hasOutfieldFeature
chosen
Indicates that an entity possesses or includes a specific feature or characteristic located in its outfield area.
-
D.
fieldingSpecialty
Indicates a player's particular area of expertise or primary role when performing defensive (fielding) duties in a sport.
-
E.
fielded
Indicates that an entity deployed, presented, or put forward another entity (such as a person, team, or resource) for participation or use in a particular context or activity.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.