Triple

T32193849
Position Surface form Disambiguated ID Type / Status
Subject Mystic Seer machine E822345 entity
Predicate hasFanReplicas P16046 FINISHED
Object coin-operated replicas 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: coin-operated replicas | Statement: [Mystic Seer machine, hasFanReplicas, coin-operated replicas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFanReplicas
Context triple: [Mystic Seer machine, hasFanReplicas, coin-operated replicas]
  • A. hasReplicaDisplays chosen
    Indicates that an entity features or presents one or more replica items as displays.
  • B. hasReplicators
    Indicates that an entity possesses or is equipped with devices or mechanisms capable of reproducing or duplicating objects, structures, or materials.
  • C. supportsDataReplicationFactor
    Indicates that an entity enables, configures, or is compatible with a specified data replication factor for storing or duplicating data.
  • D. hasReplicaStatus
    Indicates that one entity serves as a copy or duplicate of another, often with a specific role or state in a replication relationship.
  • E. replicaOf
    Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 1, 2026, 12:35 a.m.