Triple
T34980275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bend Blue Sox |
E1008793
|
entity |
| Predicate | hasChampionshipCount |
P48891
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [South Bend Blue Sox, hasChampionshipCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChampionshipCount Context triple: [South Bend Blue Sox, hasChampionshipCount, 2]
-
A.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
B.
conferenceChampionshipWonCount
Indicates the number of conference championships that have been won.
-
C.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
-
D.
associatedChampionshipCount
chosen
Indicates the number of championships that are linked or related to a given entity.
-
E.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 3, 2026, 4:01 p.m.