Triple
T24344655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 American League pennant |
E613605
|
entity |
| Predicate | isSecondPennantInFranchiseHistoryFor |
P24506
|
FINISHED |
| Object | Texas Rangers |
—
|
NE NERFINISHED |
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: Texas Rangers | Statement: [2011 American League pennant, isSecondPennantInFranchiseHistoryFor, Texas Rangers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondPennantInFranchiseHistoryFor Context triple: [2011 American League pennant, isSecondPennantInFranchiseHistoryFor, Texas Rangers]
-
A.
previousPennantForFranchise
Indicates that one pennant (championship title or league victory) directly preceded another for the same sports franchise in chronological order.
-
B.
leaguePennantWon
Indicates that a team has won the championship pennant of a particular sports league.
-
C.
pennantNumberForFranchise
chosen
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
D.
firstPennantForFranchise
Indicates that the referenced pennant is the first league or conference championship ever won by the franchise.
-
E.
team1ConsecutivePennants
Indicates that the first team has won league pennants in consecutive seasons.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29328b0288190a580939e8863b0c2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.