Triple
T1111971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League |
E11014
|
entity |
| Predicate | hasPennant |
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: [American League, hasPennant, American League pennant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPennant Context triple: [American League, hasPennant, American League pennant]
-
A.
pennantNumber
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
B.
pennantTeam
chosen
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
C.
previousPennantForFranchise
Indicates that one pennant (championship title or league victory) directly preceded another for the same sports franchise in chronological order.
-
D.
managedPennantWinner
Indicates that a person served as the manager of a team during a season in which that team won the league pennant.
-
E.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.