Triple
T49378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1903 World Series |
E970
|
entity |
| Predicate | gameCountWonByBostonAmericans |
P3213
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1903 World Series, gameCountWonByBostonAmericans, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameCountWonByBostonAmericans Context triple: [1903 World Series, gameCountWonByBostonAmericans, 5]
-
A.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
-
B.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
C.
hasMajorSportsTeam
Indicates that a location is home to at least one prominent, officially recognized sports team, typically in a major professional or collegiate league.
-
D.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
E.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abfa7bc8190932c137a823efcb6 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c198e74819088a211001d0b54d4 |
completed | Feb. 28, 2026, 1:59 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.