Triple
T481546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Series Most Valuable Player Award |
E9177
|
entity |
| Predicate | typicalPositionBias |
P14852
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [World Series Most Valuable Player Award, typicalPositionBias, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionBias Context triple: [World Series Most Valuable Player Award, typicalPositionBias, none]
-
A.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
B.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
C.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
D.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
E.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef4030608190b39852b347a505ca |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.