Triple

T35473856
Position Surface form Disambiguated ID Type / Status
Subject Machinery Hall E1025271 entity
Predicate powerSourceDisplayed P8164 FINISHED
Object steam engines 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: steam engines | Statement: [Machinery Hall, powerSourceDisplayed, steam engines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerSourceDisplayed
Context triple: [Machinery Hall, powerSourceDisplayed, steam engines]
  • A. hasPowerSource chosen
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • B. powerCondition
    Indicates that one entity’s ability to function, operate, or exert influence depends on a specified power-related requirement or state being satisfied.
  • C. powerStatus
    Indicates whether an entity is currently powered on, off, or in another defined power state.
  • D. powerSupplyCapability
    Indicates the ability of one entity to provide electrical power to another entity or system.
  • E. hasPowerSupplyType
    Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
  • 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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 3, 2026, 4:04 p.m.