Triple

T36604879
Position Surface form Disambiguated ID Type / Status
Subject Body Wars E903019 entity
Predicate numberOfSimulators P17874 FINISHED
Object 4 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: 4 | Statement: [Body Wars, numberOfSimulators, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfSimulators
Context triple: [Body Wars, numberOfSimulators, 4]
  • A. hasSimulator
    Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
  • B. numberOfInstances chosen
    Indicates the quantity or count of distinct occurrences or instances associated with a given entity or context.
  • C. numberOfTerminals
    Indicates the total count of terminal points or endpoints associated with an entity.
  • D. numberOfAgents
    Indicates the quantity of agents involved in or associated with a given entity or situation.
  • E. hasNumberOfPlatforms
    Indicates the relationship that specifies how many platforms are associated with a given 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.