Triple
T37451559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rattlers |
E930681
|
entity |
| Predicate | hasWonLeagueTitlesIn |
P12322
|
FINISHED |
| Object | Arena Football League |
—
|
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: Arena Football League | Statement: [Rattlers, hasWonLeagueTitlesIn, Arena Football League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonLeagueTitlesIn Context triple: [Rattlers, hasWonLeagueTitlesIn, Arena Football League]
-
A.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
B.
hasWonLeagueTitlesInMultipleCountries
Indicates that an entity has secured league championship titles in more than one country.
-
C.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
D.
hasWonCupTitles
Indicates that an entity has achieved victory in one or more cup-style competitions, resulting in official cup titles.
-
E.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:17 p.m.