Triple

T16869168
Position Surface form Disambiguated ID Type / Status
Subject Paris–Amsterdam high-speed corridor E410123 entity
Predicate usesRailwayLine P15040 FINISHED
Object HSL 1 E199938 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: HSL 1 | Statement: [Paris–Amsterdam high-speed corridor, usesRailwayLine, HSL 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSL 1
Context triple: [Paris–Amsterdam high-speed corridor, usesRailwayLine, HSL 1]
  • A. HSL 1 chosen
    HSL 1 is a Belgian high-speed railway line that forms part of the international route used by Eurostar and other high-speed services between Brussels and neighboring countries.
  • B. HSL 2
    HSL 2 is a Belgian high-speed railway line primarily used for fast passenger services between major cities and international connections.
  • C. HSL 3
    HSL 3 is a Belgian high-speed railway line that connects Liège to the German border as part of the international high-speed rail corridor between Brussels and Germany.
  • D. HSL 4
    HSL 4 is a Belgian high-speed railway line that connects Antwerp to the Dutch border as part of the international high-speed rail corridor between Brussels and Amsterdam.
  • E. HSL
    HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50a82348190b3e33fd558aa3c7f completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2aba8c481908f5ff1ddc4b255cb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.