Triple
T2514607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Patriots–New York Jets rivalry |
E52782
|
entity |
| Predicate | hasRegularSeasonMeetings |
P40714
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New England Patriots–New York Jets rivalry, hasRegularSeasonMeetings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularSeasonMeetings Context triple: [New England Patriots–New York Jets rivalry, hasRegularSeasonMeetings, true]
-
A.
hasPlayoffMeetings
Indicates that the entities have faced each other in playoff competitions or postseason matchups.
-
B.
hasRegularSeason
Indicates that an entity (such as a league, competition, or sport) includes or is associated with a defined regular season phase of play.
-
C.
typicalNumberOfMeetingsPerSeason
Indicates the usual or average count of meetings that occur within a single season.
-
D.
featuresRegularSeasonMeetingsPerYear
Indicates that the relationship involves how many regular-season meetings or matchups occur between the entities each year.
-
E.
usesRegularSeasonStandingsFor
Indicates that one entity determines outcomes or decisions based on the regular season standings of another entity.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:46 p.m.