Triple
T38670641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point-a-Minute teams |
E940575
|
entity |
| Predicate | nationalChampionshipsRecognized |
P197192
|
FINISHED |
| Object | multiple retroactive selectors |
—
|
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 retroactive selectors | Statement: [Point-a-Minute teams, nationalChampionshipsRecognized, multiple retroactive selectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalChampionshipsRecognized Context triple: [Point-a-Minute teams, nationalChampionshipsRecognized, multiple retroactive selectors]
-
A.
nationalChampionshipParticipation
Indicates that an entity has taken part in a national-level championship competition.
-
B.
isNationalChampionshipOf
Indicates that one entity is the national championship title, event, or competition associated with the other entity (such as a sport, league, or country).
-
C.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
D.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
E.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69fe7b1b3460819081172731b52ac15b |
completed | May 9, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:33 p.m.