Triple
T30345981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illyasviel von Einzbern |
E771868
|
entity |
| Predicate | magicCircuitQuantity |
P64677
|
FINISHED |
| Object | very large |
—
|
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: very large | Statement: [Illyasviel von Einzbern, magicCircuitQuantity, very large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magicCircuitQuantity Context triple: [Illyasviel von Einzbern, magicCircuitQuantity, very large]
-
A.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
B.
numberOfCircuits
chosen
Indicates the total count of circuits associated with or contained in a given entity or system.
-
C.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
-
D.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
E.
circuitHolding
Indicates that one entity is physically grasping, supporting, or maintaining control of an electrical circuit or circuit component.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682073b00819087f197f3937071a5 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:55 p.m.