Triple
T14583909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Browns–Cincinnati Bengals rivalry |
E342263
|
entity |
| Predicate | intraStateRivalry |
P107240
|
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: [Cleveland Browns–Cincinnati Bengals rivalry, intraStateRivalry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intraStateRivalry Context triple: [Cleveland Browns–Cincinnati Bengals rivalry, intraStateRivalry, true]
-
A.
isIntraStateRivalryOf
chosen
Indicates that there is a rivalry occurring within the same state or internal political unit between the related entities.
-
B.
involvesRivalryBetween
Indicates a relationship in which two or more entities are engaged in rivalry or competitive opposition with one another.
-
C.
typeOfRivalry
Indicates a competitive or adversarial relationship between entities, specifying the particular kind or nature of rivalry that exists between them.
-
D.
divisionRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same division or subgroup within a larger organization or system.
-
E.
rivalryLevel
Indicates the degree or intensity of competitive opposition or conflict between two entities.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.