Triple

T29655475
Position Surface form Disambiguated ID Type / Status
Subject Photon Cannon E750251 entity
Predicate requiresPowerFrom P195351 FINISHED
Object Pylon 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: Pylon | Statement: [Photon Cannon, requiresPowerFrom, Pylon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPowerFrom
Context triple: [Photon Cannon, requiresPowerFrom, Pylon]
  • A. usesPowerFor
    Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
  • B. requiresBattery
    Indicates that one entity depends on a battery from another entity in order to function or be used.
  • C. requiresPowerField chosen
    Indicates that the subject entity depends on an associated power field being present or active in order to function or be valid.
  • D. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
  • E. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • 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_69f0d6226fe881908819197c9ef9ee04 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fdd07a34c08190982b8c61c2775cf6 completed May 8, 2026, noon
PD Predicate disambiguation batch_69fdbd25c7908190b72fca8de7ce503f completed May 8, 2026, 10:38 a.m.
Created at: April 28, 2026, 6:55 p.m.