Triple
T24607758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 American League Championship Series |
E609020
|
entity |
| Predicate | hasRunnerUpTeam |
P156725
|
FINISHED |
| Object | Chicago White Sox |
—
|
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: Chicago White Sox | Statement: [1993 American League Championship Series, hasRunnerUpTeam, Chicago White Sox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunnerUpTeam Context triple: [1993 American League Championship Series, hasRunnerUpTeam, Chicago White Sox]
-
A.
hasNationalRunnerUpFinishes
Indicates that an entity has achieved one or more second-place (runner-up) finishes in a national-level competition or championship.
-
B.
stateOfRunnerUpTeam
Indicates the state or region associated with the team that finished as the runner-up in a competition or event.
-
C.
runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
-
D.
gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
-
E.
runnerUpScore
Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
- F. None of above. chosen
Provenance (4 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:31 a.m.