Triple
T14919979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre Dame Fighting Irish |
E371482
|
entity |
| Predicate | footballNationalChampionshipsClaimed |
P66087
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Notre Dame Fighting Irish, footballNationalChampionshipsClaimed, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballNationalChampionshipsClaimed Context triple: [Notre Dame Fighting Irish, footballNationalChampionshipsClaimed, 11]
-
A.
numberOfNationalChampionships
chosen
Indicates the total count of national championship titles an entity has won.
-
B.
footballNationalChampionshipLevel
Indicates the competitive tier or division at which a football national championship is contested or recognized.
-
C.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
D.
FAcupTitles
Indicates that an entity has won a specified number of FA Cup titles.
-
E.
NFLChampionshipsWon
Indicates the number of NFL championship titles that an entity (typically a team or franchise) 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:33 a.m.