Triple
T12812811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Stingrays |
E306312
|
entity |
| Predicate | divisionTitlesWon |
P25122
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [South Carolina Stingrays, divisionTitlesWon, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionTitlesWon Context triple: [South Carolina Stingrays, divisionTitlesWon, multiple]
-
A.
divisionTitlesAwardedSince
Indicates the number or list of division titles that have been awarded to an entity starting from a specified point in time.
-
B.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
C.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
D.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
E.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.