Triple
T3841255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Panthers–Atlanta Falcons rivalry |
E93453
|
entity |
| Predicate | team2DivisionTitles |
P52334
|
FINISHED |
| Object | NFC South titles |
—
|
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: NFC South titles | Statement: [Carolina Panthers–Atlanta Falcons rivalry, team2DivisionTitles, NFC South titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team2DivisionTitles Context triple: [Carolina Panthers–Atlanta Falcons rivalry, team2DivisionTitles, NFC South titles]
-
A.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
B.
team2ConferenceTitles
Indicates the number of conference championship titles that the second team has won.
-
C.
team1ConferenceTitles
Indicates the number of conference championship titles won by the first team in a given context or comparison.
-
D.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
-
E.
team1Division
Indicates the competitive division or grouping in which the first team participates or is classified.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:18 p.m.