Triple

T7616027
Position Surface form Disambiguated ID Type / Status
Subject Jägerndorf E172362 entity
Predicate historicalMinorityPopulation P59102 FINISHED
Object Czech population 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: Czech population | Statement: [Jägerndorf, historicalMinorityPopulation, Czech population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalMinorityPopulation
Context triple: [Jägerndorf, historicalMinorityPopulation, Czech population]
  • A. historicalMinority chosen
    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.
  • B. shareMinorityPopulations
    Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
  • C. historicalEthnicGroups
    Indicates that there is a historically attested ethnic group or groups associated with the subject entity.
  • D. religiousCompositionHistorical
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • E. historicalDiversity
    Indicates that there has been variation or change in the composition, characteristics, or representation of something across different historical periods.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fe73ff7c8190ab1218d97b37416d completed March 27, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69c6f4e725a88190b1f05dd224f7f4f2 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:55 p.m.