Triple

T5453161
Position Surface form Disambiguated ID Type / Status
Subject London St Pancras to Sheffield E122415 entity
Predicate typicalIntermediateStop P43132 FINISHED
Object Luton E51115 NE FINISHED

How this triple was built (3 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: Luton | Statement: [London St Pancras to Sheffield, typicalIntermediateStop, Luton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luton
Context triple: [London St Pancras to Sheffield, typicalIntermediateStop, Luton]
  • A. Luton chosen
    Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
  • B. Aylesbury
    Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
  • C. Hemel Hempstead
    Hemel Hempstead is a large town in southern England, known as a post-war New Town and major commercial and residential centre within Hertfordshire.
  • D. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • E. Luton, Chatham
    Luton is a residential suburb and neighbourhood of Chatham in Kent, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalIntermediateStop
Context triple: [London St Pancras to Sheffield, typicalIntermediateStop, Luton]
  • A. typicalStopoverCity chosen
    Indicates that a city commonly serves as an intermediate stop or layover point in a journey between other locations.
  • B. numberOfIntermediateStops
    Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
  • C. typicalStopoverRegion
    Indicates the geographic region where an entity (such as a migrating animal or traveler) most commonly makes an intermediate stop during its journey.
  • D. intermediateTerminus
    Indicates that something serves as a temporary or middle stopping point within a larger route, process, or sequence.
  • E. hasIntermediateStation
    Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
  • F. None of above.

Provenance (4 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd95be329c81908783420cf81b6af5 completed March 20, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4140248081908c7f42b91579a837 completed March 22, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69bd919e8d18819098c4af6a015e5cc2 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.