Triple
T276244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orix Buffaloes |
E5254
|
entity |
| Predicate | PacificLeaguePennants |
P892
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Orix Buffaloes, PacificLeaguePennants, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PacificLeaguePennants Context triple: [Orix Buffaloes, PacificLeaguePennants, multiple]
-
A.
leaguePennants
chosen
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
B.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
-
C.
pennantTeam
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
D.
worldSeriesTeams
Indicates a relationship where the specified teams are the ones that competed in a particular World Series event.
-
E.
mostPennantsTeam
Indicates that the subject is the team that has won the greatest number of league pennants within a specified context or league.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.