Triple

T30753730
Position Surface form Disambiguated ID Type / Status
Subject Fehmarnbelt Tunnel E783022 entity
Predicate railDesignSpeedKmPerHour P138039 FINISHED
Object 200 LITERAL 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: 200 | Statement: [Fehmarnbelt Tunnel, railDesignSpeedKmPerHour, 200]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railDesignSpeedKmPerHour
Context triple: [Fehmarnbelt Tunnel, railDesignSpeedKmPerHour, 200]
  • A. designedSpeedKmH chosen
    Indicates the maximum speed in kilometers per hour that something is intended or engineered to achieve under its design specifications.
  • B. designedServiceSpeed
    Indicates the intended or specified operational speed at which a service is designed to function.
  • C. speedAtDerailmentApprox
    Indicates the approximate speed an entity was traveling at the moment it derailed.
  • D. governingSpeedRange
    Indicates the range of speeds within which a governing or limiting mechanism is intended to operate or apply.
  • E. speedLimitCharacteristic
    Indicates that an entity has a specific speed limit property or constraint associated with it.
  • F. None of above.

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_69f224af8d8481908bea03890c5618be completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f697eabb048190bc01a830f14942c6 completed May 3, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69f69664142c8190bc695501056b0236 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 8:39 p.m.