Triple

T37464483
Position Surface form Disambiguated ID Type / Status
Subject Twinspell E930999 entity
Predicate copyCreatedByTwinspellCanBeDiscounted P188369 FINISHED
Object true 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: true | Statement: [Twinspell, copyCreatedByTwinspellCanBeDiscounted, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: copyCreatedByTwinspellCanBeDiscounted
Context triple: [Twinspell, copyCreatedByTwinspellCanBeDiscounted, true]
  • A. copyIsNotTwinspell
    Indicates that a copied instance of a spell or effect is not considered a true twin or identical duplicate of the original spell.
  • B. usesDiscountFactor
    Indicates that an entity applies a discount factor when evaluating or calculating the value of something over time or across scenarios.
  • C. wasReduced
    Indicates that something has been decreased in amount, size, intensity, or value compared to a previous state.
  • D. discountRate
    Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
  • E. bargainsWith
    Indicates that two entities engage in negotiation or exchange to reach a mutually acceptable agreement.
  • F. None of above. chosen

Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba68077788190b311e027435fcf87 completed May 6, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fba34c65ac8190b298f0f00d1dcc0e completed May 6, 2026, 8:23 p.m.
PDg Predicate description generation batch_69fba67f78348190ab160988e4698394 completed May 6, 2026, 8:37 p.m.
Created at: May 3, 2026, 4:17 p.m.