Triple

T27822980
Position Surface form Disambiguated ID Type / Status
Subject Frederiksnagore E702871 entity
Predicate religionMinorityHistorical P2812 FINISHED
Object Islam 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: Islam | Statement: [Frederiksnagore, religionMinorityHistorical, Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionMinorityHistorical
Context triple: [Frederiksnagore, religionMinorityHistorical, Islam]
  • A. religionMinority chosen
    Indicates that the subject’s religion is a minority faith within the relevant population or context.
  • B. historicalMinority
    Indicates that an entity has been part of a group that has been numerically, politically, or socially subordinate within a society over a significant historical period.
  • C. religionSignificantMinorityRegion
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • D. religiousMinorityCenterFor
    Indicates that a place or institution serves as a central hub or focal point for a specific religious minority group.
  • E. religionMajorityEarlyModern
    Indicates that, during the early modern period, a specified religion was the majority faith within a given population or 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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
Created at: April 27, 2026, 5:49 p.m.