Triple
T3524311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 Chicago White Sox World Series championship |
E74500
|
entity |
| Predicate | previousFranchiseTitleYear |
P49227
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [2005 Chicago White Sox World Series championship, previousFranchiseTitleYear, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousFranchiseTitleYear Context triple: [2005 Chicago White Sox World Series championship, previousFranchiseTitleYear, 1917]
-
A.
franchisePreviousTitlesCity
Indicates that a sports franchise previously held titles (championships) while located in a specified city.
-
B.
predecessorFranchise
Indicates that one franchise directly precedes and is succeeded by another franchise in a series or lineage.
-
C.
previousFranchiseCharacteristic
Indicates that a characteristic was associated with a franchise at an earlier time or in a prior version or iteration.
-
D.
runnerUpPreviousTitleYear
Indicates that an entity was the runner-up for a specific title in the immediately preceding year.
-
E.
originalFranchiseName
Indicates that an entity is associated with the name of the franchise from which it originally comes or to which it originally belongs.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.