Triple

T24494328
Position Surface form Disambiguated ID Type / Status
Subject East Freetown village E617736 entity
Predicate religionSignificantCountry P6906 FINISHED
Object Christianity NE NERFINISHED

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: Christianity | Statement: [East Freetown village, religionSignificantCountry, Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionSignificantCountry
Context triple: [East Freetown village, religionSignificantCountry, Christianity]
  • A. religionInCountry
    Indicates that a particular religion is practiced, present, or recognized within a specified country.
  • B. religionSignificant chosen
    Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
  • C. regionOfReligiousSignificance
    Indicates that a location or area holds recognized religious importance, such as being sacred, holy, or central to religious practices or beliefs.
  • D. hasReligiousSignificanceVia
    Indicates that something holds religious significance specifically by means of, or through the mediation of, another entity, event, or context.
  • E. religionSignificantMinorityRegion
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a9d912e88190bc39c05a9d7f407e completed April 30, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69f2a6a4580481908fddc385f5262f95 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:22 a.m.