Triple

T3076722
Position Surface form Disambiguated ID Type / Status
Subject Grevenmacher District E64154 entity
Predicate historicalRegionType P915 FINISHED
Object district of Luxembourg 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: district of Luxembourg | Statement: [Grevenmacher District, historicalRegionType, district of Luxembourg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalRegionType
Context triple: [Grevenmacher District, historicalRegionType, district of Luxembourg]
  • A. historicalRegion chosen
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. historicalRegionAssociation
    Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
  • C. historicalRegionCode
    Indicates that an entity is associated with a specific code identifying a historical region.
  • D. historicalRegionCorrespondsTo
    Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
  • E. historicalRegionNowInCountry
    Indicates that a historical region is currently located within the borders or jurisdiction of a specified modern country.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a5b4108190979654b459990afd completed March 8, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:02 p.m.