Triple

T12122919
Position Surface form Disambiguated ID Type / Status
Subject Grande Randonnée network E288737 entity
Predicate hasPart P35 FINISHED
Object GR 34
GR 34 is a long-distance coastal hiking trail in France that follows much of the Brittany shoreline, offering scenic seaside routes and cultural landmarks.
 E964249 NE FINISHED

How this triple was built (4 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: GR 34 | Statement: [Grande Randonnée network, hasPart, GR 34]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR 34
Context triple: [Grande Randonnée network, hasPart, GR 34]
  • A. GR 20
    GR 20 is a renowned long-distance hiking trail in Corsica, France, considered one of the toughest and most spectacular treks in Europe.
  • B. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • C. GR70
    GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
  • D. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • E. GRZ
    GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GR 34
Triple: [Grande Randonnée network, hasPart, GR 34]
Generated description
GR 34 is a long-distance coastal hiking trail in France that follows much of the Brittany shoreline, offering scenic seaside routes and cultural landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR 34
Target entity description: GR 34 is a long-distance coastal hiking trail in France that follows much of the Brittany shoreline, offering scenic seaside routes and cultural landmarks.
  • A. GR 20
    GR 20 is a renowned long-distance hiking trail in Corsica, France, considered one of the toughest and most spectacular treks in Europe.
  • B. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • C. GR70
    GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
  • D. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • E. GRZ
    GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
  • F. None of above. chosen

Provenance (5 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91578fd88819099adf55c93d549fc completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f686d6c08190b1f1ca2d5a51f5df completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5ff815b748190932bfe163ea2847d completed May 2, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60185ce8c8190abe3b1f633aac55d completed May 2, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:49 p.m.