Triple

T11181084
Position Surface form Disambiguated ID Type / Status
Subject National Ignition Facility E264537 entity
Predicate ignitionEnergyGain P17457 FINISHED
Object fusion energy output exceeded laser energy input 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: fusion energy output exceeded laser energy input | Statement: [National Ignition Facility, ignitionEnergyGain, fusion energy output exceeded laser energy input]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ignitionEnergyGain
Context triple: [National Ignition Facility, ignitionEnergyGain, fusion energy output exceeded laser energy input]
  • A. energyContribution
    Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
  • B. energyConcentration
    Indicates a relationship where energy is gathered, focused, or accumulated within a specific region, object, or system.
  • C. ignitionMethod
    Indicates the specific way or mechanism by which something is ignited or set on fire.
  • D. outputEnergy chosen
    Indicates that an entity produces or releases a certain amount or form of energy as a result of its operation or behavior.
  • E. energyLevel
    Indicates the amount or intensity of energy possessed, produced, or exhibited by an entity in a given state or context.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a7f35481909f35feb94ef10e80 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf4461c8190af84060f7db83211 completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:29 p.m.