Triple
T37608429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucifron |
E935717
|
entity |
| Predicate | primaryDamageSchool |
—
|
GENERATED |
| Object | Fire |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDamageSchool Context triple: [Lucifron, primaryDamageSchool, Fire]
-
A.
primaryDamageType
Indicates the main kind of harm or injury that an action, event, or object is responsible for causing.
-
B.
secondaryDamageSchool
Indicates that a school experiences indirect or collateral damage as a consequence of another primary damaging event.
-
C.
damageClass
Indicates the type or category of damage associated with an action, event, or interaction between entities.
-
D.
damageBasis
Indicates the underlying reason, cause, or basis on which damage is determined or assessed in a given context.
-
E.
secondaryDamageType
Indicates the type of additional or follow-up damage that occurs as a consequence of a primary damaging event or effect.
- F. None of above. chosen
Provenance (1 batch)
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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.