Triple
T38082320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Orleans Saints |
E950883
|
entity |
| Predicate | conferenceChampionshipTitleCount |
P121027
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [New Orleans Saints, conferenceChampionshipTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceChampionshipTitleCount Context triple: [New Orleans Saints, conferenceChampionshipTitleCount, 1]
-
A.
conferenceChampionshipWonCount
chosen
Indicates the number of conference championships that have been won.
-
B.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
C.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
D.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
-
E.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:21 p.m.