Triple
T3524280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 Chicago White Sox World Series championship |
E74500
|
entity |
| Predicate | WorldSeriesNumber |
P49222
|
FINISHED |
| Object | 101st World Series |
—
|
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: 101st World Series | Statement: [2005 Chicago White Sox World Series championship, WorldSeriesNumber, 101st World Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesNumber Context triple: [2005 Chicago White Sox World Series championship, WorldSeriesNumber, 101st World Series]
-
A.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
-
B.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
C.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
-
D.
WorldSeriesAppearance
Indicates that a team has participated in (reached and played in) a World Series championship series.
-
E.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
- 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.