Triple
T38590127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elementium Reinforced Bulwark |
E932433
|
entity |
| Predicate | materialLore |
P47718
|
FINISHED |
| Object | forged from elementium |
—
|
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: forged from elementium | Statement: [Elementium Reinforced Bulwark, materialLore, forged from elementium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialLore Context triple: [Elementium Reinforced Bulwark, materialLore, forged from elementium]
-
A.
materialInLore
chosen
Indicates that a material is referenced, described, or plays a role within a body of lore or fictional/worldbuilding context.
-
B.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
C.
materialCharacteristics
Indicates the inherent physical or compositional properties that define a material’s behavior or performance in a given context.
-
D.
materialConcept
Indicates that one entity represents or refers to a material-related concept associated with another entity.
-
E.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.