Triple

T2189094
Position Surface form Disambiguated ID Type / Status
Subject RTG E49819 entity
Predicate powerConversionMethod P37195 FINISHED
Object thermoelectric effect 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: thermoelectric effect | Statement: [RTG, powerConversionMethod, thermoelectric effect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerConversionMethod
Context triple: [RTG, powerConversionMethod, thermoelectric effect]
  • A. powerDirection
    Indicates the direction in which power, influence, or control flows from one entity to another.
  • B. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • C. intendedPower
    Indicates the level or amount of power that an entity is designed, planned, or expected to produce, use, or deliver under intended operating conditions.
  • D. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
  • E. inPower
    Indicates that one entity currently holds governing authority, control, or leadership over a group, organization, or domain.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf9e99f08190892d34485c8f2f25 completed March 7, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69abbda32d1881909d1fd83a751fb21c completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf9c77fc8190a323bcaf644fb2c5 completed March 7, 2026, 6:03 a.m.
Created at: March 4, 2026, 7:46 p.m.