Triple

T9442277
Position Surface form Disambiguated ID Type / Status
Subject LN1 E227673 entity
Predicate primaryRoute P6298 FINISHED
Object Paris–Lyon E45681 NE FINISHED

How this triple was built (2 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–Lyon | Statement: [LN1, primaryRoute, Paris–Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris–Lyon
Context triple: [LN1, primaryRoute, Paris–Lyon]
  • A. Paris–Marseille
    Paris–Marseille is a major French intercity rail corridor linking the capital Paris with the Mediterranean port city of Marseille.
  • B. Paris–Strasbourg
    Paris–Strasbourg is a major high-speed rail corridor in France linking the capital with the Alsatian city near the German border.
  • C. Paris–Limoges–Toulouse
    Paris–Limoges–Toulouse is a major French intercity rail corridor linking the capital Paris with the central city of Limoges and the southwestern city of Toulouse.
  • D. Paris–Lyon railway chosen
    The Paris–Lyon railway is a major French mainline rail route connecting the capital Paris with the city of Lyon, serving as a key corridor for both passenger and freight traffic.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f300cc88190a793712706295c53 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110627f3881908736497901a5eba8 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.