Triple

T11793066
Position Surface form Disambiguated ID Type / Status
Subject Mont Lozère E280434 entity
Predicate crossedBy P416 FINISHED
Object GR70
GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
E946921 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: GR70 | Statement: [Mont Lozère, crossedBy, GR70]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GR70
Context triple: [Mont Lozère, crossedBy, GR70]
  • A. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • B. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • C. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • D. GR-F
    GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
  • E. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • 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: GR70
Triple: [Mont Lozère, crossedBy, GR70]
Generated description
GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GR70
Target entity description: GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
  • A. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • B. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • C. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • D. GR-F
    GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
  • E. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.