Triple
T2771478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 National League pennant |
E61464
|
entity |
| Predicate | oppositeLeaguePennant |
P43066
|
FINISHED |
| Object | 1982 American League pennant |
—
|
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: 1982 American League pennant | Statement: [1982 National League pennant, oppositeLeaguePennant, 1982 American League pennant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeLeaguePennant Context triple: [1982 National League pennant, oppositeLeaguePennant, 1982 American League pennant]
-
A.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
-
B.
rivalLeague
Indicates that two leagues are in competition with each other, typically vying for similar audiences, resources, or status.
-
C.
runnerUpLeaguePennantWinner
Indicates that a team finished second in its league while another team won the league pennant.
-
D.
losingTeamLeague
Indicates that a team is the losing side in a game or match within a particular league.
-
E.
sisterLeague
Indicates that two sports leagues are considered counterparts or partners at a similar level, often collaborating or aligned in status or structure.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.