Triple
T38381763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Mt. Zion |
E893776
|
entity |
| Predicate | hasSubgroupRelationWith |
P182000
|
FINISHED |
| Object | Godspeed You! Black Emperor |
—
|
NE NERFINISHED |
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: Godspeed You! Black Emperor | Statement: [Silver Mt. Zion, hasSubgroupRelationWith, Godspeed You! Black Emperor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubgroupRelationWith Context triple: [Silver Mt. Zion, hasSubgroupRelationWith, Godspeed You! Black Emperor]
-
A.
haveSubgroups
Indicates that an entity is organized into smaller constituent groups that are part of it.
-
B.
hasSubgroupStatus
Indicates that one group holds a specific status or classification as a subgroup within a larger group or organization.
-
C.
subgroupOrRelated
chosen
Indicates that one entity is a subgroup of, or otherwise closely related in group membership or classification to, another entity.
-
D.
hasSubcategoryRelation
Indicates that one category is a more specific subdivision or subset of another broader category.
-
E.
subGroupOf
Indicates that one group is a subset or specialized division of another, larger group.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a008098e5dc8190b7ccad8bab780343 |
completed | May 10, 2026, 12:56 p.m. |
| PD | Predicate disambiguation | batch_6a008037267c8190990225a6ff0b3694 |
completed | May 10, 2026, 12:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.