Triple

T12879704
Position Surface form Disambiguated ID Type / Status
Subject GR footpath network E308058 entity
Predicate hasPart P35 FINISHED
Object GR 36
GR 36 is a long-distance hiking trail in the French GR footpath network, known for crossing varied landscapes and connecting multiple regions.
 E1009773 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 36 | Statement: [GR footpath network, hasPart, GR 36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR 36
Context triple: [GR footpath network, hasPart, GR 36]
  • A. 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.
  • B. GR 65
    GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
  • C. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • D. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • E. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • 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 36
Triple: [GR footpath network, hasPart, GR 36]
Generated description
GR 36 is a long-distance hiking trail in the French GR footpath network, known for crossing varied landscapes and connecting multiple regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR 36
Target entity description: GR 36 is a long-distance hiking trail in the French GR footpath network, known for crossing varied landscapes and connecting multiple regions.
  • A. 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.
  • B. GR 65
    GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
  • C. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • D. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • E. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55393a88190a88c9357a6db5aec completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a6db731c819091b96c4ed6a50f19 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:39 p.m.