Triple
T222013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Yankees vs Baltimore Orioles |
E4233
|
entity |
| Predicate | seasonImpact |
P8281
|
FINISHED |
| Object | division title races |
—
|
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: division title races | Statement: [New York Yankees vs Baltimore Orioles, seasonImpact, division title races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonImpact Context triple: [New York Yankees vs Baltimore Orioles, seasonImpact, division title races]
-
A.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
B.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
C.
hasClimateInfluence
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
D.
seasonStructure
Indicates how a season is organized or structured in terms of its component parts, phases, or format.
-
E.
effectOnWorldSeries
Indicates the impact or influence that something has on the outcome, progression, or context of the World Series.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.