Triple
T4543984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles O. Finley |
E110003
|
entity |
| Predicate | teamNameChanged |
P3202
|
FINISHED |
| Object | Kansas City Athletics to Oakland Athletics |
—
|
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: Kansas City Athletics to Oakland Athletics | Statement: [Charles O. Finley, teamNameChanged, Kansas City Athletics to Oakland Athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNameChanged Context triple: [Charles O. Finley, teamNameChanged, Kansas City Athletics to Oakland Athletics]
-
A.
leagueRenamedAs
Indicates that a sports league has changed its official name to a new one.
-
B.
team1LaterKnownAs
chosen
Indicates that the first team was later renamed to or became known by the identity of the second team.
-
C.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
-
D.
team2FormerName
Indicates that the second team entity was previously known by a different name.
-
E.
teamNameUsedSince
Indicates the point in time since which a particular team name has been in use.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d517e881909c3d23ed4453b0a7 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:05 p.m.