Triple

T17598170
Position Surface form Disambiguated ID Type / Status
Subject Serenity E428626 entity
Predicate separateEconomyFrom P36309 FINISHED
Object Tranquility 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: Tranquility | Statement: [Serenity, separateEconomyFrom, Tranquility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: separateEconomyFrom
Context triple: [Serenity, separateEconomyFrom, Tranquility]
  • A. economicExtensionOf
    Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
  • B. economicSystem
    Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
  • C. differentiationFromEconomy chosen
    Indicates a relationship where something is distinguished or set apart from the economic sphere, principles, or considerations.
  • D. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • E. separateCustomsTerritoryFrom
    Indicates that one entity is formally distinguished and treated as a distinct customs territory from another for trade and customs purposes.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:51 a.m.