Triple
T2284620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo Bills–Miami Dolphins rivalry |
E51358
|
entity |
| Predicate | firstMeetingScore |
P36160
|
FINISHED |
| Object | Buffalo Bills 58–24 Miami Dolphins |
—
|
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: Buffalo Bills 58–24 Miami Dolphins | Statement: [Buffalo Bills–Miami Dolphins rivalry, firstMeetingScore, Buffalo Bills 58–24 Miami Dolphins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingScore Context triple: [Buffalo Bills–Miami Dolphins rivalry, firstMeetingScore, Buffalo Bills 58–24 Miami Dolphins]
-
A.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
B.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
C.
firstAssemblyMeeting
Indicates that an entity is the initial or inaugural meeting of a particular assembly or deliberative body.
-
D.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
E.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc245dd208190b13c5f5d05aa6990 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe1ecb7081909c2c66da08a48ab7 |
completed | March 7, 2026, 5:56 a.m. |
Created at: March 4, 2026, 7:48 p.m.