Triple
T1068731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OL Reign |
E23274
|
entity |
| Predicate | hasSupporterCulture |
P10151
|
FINISHED |
| Object | organized supporter groups |
—
|
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: organized supporter groups | Statement: [OL Reign, hasSupporterCulture, organized supporter groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupporterCulture Context triple: [OL Reign, hasSupporterCulture, organized supporter groups]
-
A.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
B.
hasSupporter
chosen
Indicates that one entity supports, endorses, or backs another entity.
-
C.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
D.
hasCulturalDevelopment
Indicates that an entity exhibits, contributes to, or is characterized by a particular level or type of cultural growth, expression, or advancement.
-
E.
hasCulturalWing
Indicates that an entity includes or is associated with a dedicated cultural wing or section as part of its structure or facilities.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.