Triple

T3827543
Position Surface form Disambiguated ID Type / Status
Subject LGV Sud Europe Atlantique E88725 entity
Predicate connectsCorridor P5520 FINISHED
Object Paris–Toulouse
Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
 E392596 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: Paris–Toulouse | Statement: [LGV Sud Europe Atlantique, connectsCorridor, Paris–Toulouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris–Toulouse
Context triple: [LGV Sud Europe Atlantique, connectsCorridor, Paris–Toulouse]
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Paris–Clermont-Ferrand
    Paris–Clermont-Ferrand is a major French intercity rail route linking the capital Paris with the central city of Clermont-Ferrand.
  • C. Bordeaux–Toulouse–Marseille
    Bordeaux–Toulouse–Marseille is a major French intercity rail corridor linking the Atlantic city of Bordeaux with Toulouse and the Mediterranean port of Marseille.
  • D. TGV Paris–Nice
    TGV Paris–Nice is a high-speed French train service connecting Paris with the Mediterranean city of Nice.
  • E. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • 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: Paris–Toulouse
Triple: [LGV Sud Europe Atlantique, connectsCorridor, Paris–Toulouse]
Generated description
Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris–Toulouse
Target entity description: Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Paris–Clermont-Ferrand
    Paris–Clermont-Ferrand is a major French intercity rail route linking the capital Paris with the central city of Clermont-Ferrand.
  • C. Bordeaux–Toulouse–Marseille
    Bordeaux–Toulouse–Marseille is a major French intercity rail corridor linking the Atlantic city of Bordeaux with Toulouse and the Mediterranean port of Marseille.
  • D. TGV Paris–Nice
    TGV Paris–Nice is a high-speed French train service connecting Paris with the Mediterranean city of Nice.
  • E. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb66c0bc819084d9a9fe32e8433a completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f9df8c8190b42c544e827d6c76 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b5057089e88190b3c5b85503b3f8fa completed March 14, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69b505ec14b481909b71e66d68473c20 completed March 14, 2026, 6:53 a.m.
Created at: March 9, 2026, 3:17 p.m.