Triple
T37040825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destiny 2: Beyond Light |
E916775
|
entity |
| Predicate | subclassType |
P1244
|
FINISHED |
| Object | Darkness-based subclass |
—
|
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: Darkness-based subclass | Statement: [Destiny 2: Beyond Light, subclassType, Darkness-based subclass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subclassType Context triple: [Destiny 2: Beyond Light, subclassType, Darkness-based subclass]
-
A.
subclassOf
chosen
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
B.
subbranchOf
Indicates that one entity is a subordinate or secondary branch derived from, and structurally dependent on, another entity.
-
C.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
D.
subGroupOf
Indicates that one group is a subset or specialized division of another, larger group.
-
E.
tiltingSubClass
Indicates that one class is a specialized tilting-related subclass or refinement of another class within a hierarchical relationship.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.