Triple
T17618483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 American League Championship Series |
E429646
|
entity |
| Predicate | pennantFor |
P2602
|
FINISHED |
| Object | 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: American League pennant | Statement: [1984 American League Championship Series, pennantFor, American League pennant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pennantFor Context triple: [1984 American League Championship Series, pennantFor, American League pennant]
-
A.
pennantNumber
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
B.
hasPennantType
Indicates that an entity is associated with a specific type or category of pennant.
-
C.
pennantTeam
chosen
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
D.
pennantNumberForFranchise
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
E.
pennantRaceNickname
Indicates a nickname or informal name used to refer to a specific pennant race in sports.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3489dc8190a619c58025dbb250 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.