Triple

T12499569
Position Surface form Disambiguated ID Type / Status
Subject Northeastern France E298784 entity
Predicate includesFormerRegion P97330 FINISHED
Object Alsace E19573 NE FINISHED

How this triple was built (3 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: Alsace | Statement: [Northeastern France, includesFormerRegion, Alsace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsace
Context triple: [Northeastern France, includesFormerRegion, Alsace]
  • A. Alsace chosen
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • B. Alsacia
    Alsacia is a Madrid Metro station on Line 2 serving the San Blas-Canillejas district in eastern Madrid, Spain.
  • C. Alsace-Lorraine
    Alsace-Lorraine is a historically contested border region between France and Germany, known for its mixed cultural heritage and strategic importance in European conflicts.
  • D. French Lorraine
    French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
  • E. Franche-Comté
    Franche-Comté is a historical region in eastern France bordering Switzerland, known for its mountainous Jura landscapes, distinctive cheeses like Comté, and a past marked by shifting control between France and the Habsburgs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesFormerRegion
Context triple: [Northeastern France, includesFormerRegion, Alsace]
  • A. formerRegionBefore2016
    Indicates that an entity was recognized as a region prior to the year 2016 but no longer holds that regional status after 2016.
  • B. historicallyIncludedRegion chosen
    Indicates that one region was formerly part of, or contained within, another region during a past historical period.
  • C. formerServesRegion
    Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
  • D. includedRegions
    Indicates that certain regions are contained within, or form part of, a larger specified region or set of regions.
  • E. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • F. None of above.

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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eac74608190a6f1941ed5a05212 completed May 2, 2026, 8:29 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.