Triple
T24344711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Rangers vs. Arizona Diamondbacks |
E613606
|
entity |
| Predicate | RangersFranchise |
P82317
|
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: [Texas Rangers vs. Arizona Diamondbacks, RangersFranchise, Texas Rangers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RangersFranchise Context triple: [Texas Rangers vs. Arizona Diamondbacks, RangersFranchise, Texas Rangers]
-
A.
rangersConsecutiveALPennantsNumber
Indicates the number of consecutive American League pennants won by the Texas Rangers.
-
B.
RangersCaptain
Indicates that an entity serves as the captain (leader) of a team or group identified as Rangers.
-
C.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
-
D.
hasHistoricalPredecessorTeamForRangers
Indicates that one team is recognized as an earlier historical incarnation or predecessor of the Rangers team.
-
E.
hostTeamFranchise
chosen
Indicates that a team franchise is serving as the host team in a given game or event.
- 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.