Triple
T3408753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Broncos–Los Angeles Chargers rivalry |
E71838
|
entity |
| Predicate | team1ConferenceTitlesContext |
P49127
|
FINISHED |
| Object | AFC West divisional races |
—
|
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: AFC West divisional races | Statement: [Denver Broncos–Los Angeles Chargers rivalry, team1ConferenceTitlesContext, AFC West divisional races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team1ConferenceTitlesContext Context triple: [Denver Broncos–Los Angeles Chargers rivalry, team1ConferenceTitlesContext, AFC West divisional races]
-
A.
team1ConferenceTitles
Indicates the number of conference championship titles won by the first team in a given context or comparison.
-
B.
team2ConferenceTitles
Indicates the number of conference championship titles that the second team has won.
-
C.
SuperBowlTitlesWithTeam
Indicates the relationship between a team and the number of Super Bowl titles that team has won.
-
D.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
E.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team has won.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.