Triple
T36859017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kopites |
E910876
|
entity |
| Predicate | fanRivalryWith |
P53223
|
FINISHED |
| Object | Manchester United supporters |
—
|
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: Manchester United supporters | Statement: [The Kopites, fanRivalryWith, Manchester United supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanRivalryWith Context triple: [The Kopites, fanRivalryWith, Manchester United supporters]
-
A.
hasFanBaseRivalry
chosen
Indicates a competitive or antagonistic relationship between the fan bases of two entities.
-
B.
associatedRivalry
Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
-
C.
hasRivalryEmotion
Indicates that one entity feels rivalry-based emotions, such as competitive tension or antagonistic comparison, toward another entity.
-
D.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
-
E.
isPartOfRivalry
Indicates that one entity participates as a member or component in an ongoing rivalry involving another entity.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.