Triple

T15816642
Position Surface form Disambiguated ID Type / Status
Subject HSL 2 E383495 entity
Predicate servesTrainService P6301 FINISHED
Object InterCity E20070 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: InterCity | Statement: [HSL 2, servesTrainService, InterCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterCity
Context triple: [HSL 2, servesTrainService, InterCity]
  • A. InterCity chosen
    InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
  • B. InterCity CrossCountry
    InterCity CrossCountry was a former British Rail sector that operated long-distance cross-country passenger train services across the United Kingdom before privatisation.
  • C. Intercity Express Train
    The Intercity Express Train is a modern high-speed passenger train used on long-distance routes in the UK, known for faster journeys, improved comfort, and greater energy efficiency compared to older rolling stock.
  • D. Intercity direct
    Intercity direct is a high-speed Dutch train service connecting major cities such as Amsterdam, Rotterdam, and Breda via the high-speed line.
  • E. InterCityExpress
    InterCityExpress is Germany’s high-speed train service operated by Deutsche Bahn, known for fast long-distance connections between major cities and neighboring countries.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a306a48190840adc49df2c26c5 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.