Triple

T555024
Position Surface form Disambiguated ID Type / Status
Subject Armenia E11923 entity
Predicate oldestChristianState P16319 FINISHED
Object true 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: true | Statement: [Armenia, oldestChristianState, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oldestChristianState
Context triple: [Armenia, oldestChristianState, true]
  • A. foundingMemberState
    Indicates that a state is one of the original founding members of an organization, union, or similar entity.
  • B. statehoodYear
    Indicates the year in which an entity officially became a recognized state or attained statehood status.
  • C. stateFoundedIn
    Indicates that a particular state was established or came into existence in a specified year or time period.
  • D. largestStatelessNation
    Indicates that the subject is the largest nation (by population, territory, or other measure) that does not possess an independent sovereign state of its own.
  • E. statehoodFrom
    Indicates the point in time from which an entity has held official statehood or recognized status as a state.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991dd7008190a6c1bc8bc832456d completed March 1, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69a494bc1f8c8190904356f3a8e801de completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985952a481908b918350ececf484 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.