Triple
T2446134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riley Cup |
E53597
|
entity |
| Predicate | formerNameOfChampionship |
P65
|
FINISHED |
| Object | ECHL championship trophy |
—
|
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: ECHL championship trophy | Statement: [Riley Cup, formerNameOfChampionship, ECHL championship trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfChampionship Context triple: [Riley Cup, formerNameOfChampionship, ECHL championship trophy]
-
A.
championshipName
Indicates the name or title assigned to a specific championship event or competition.
-
B.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
C.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
D.
championPreviousTitleSeason
Indicates that an entity was the champion of the immediately preceding season for a given title or competition.
-
E.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.