Triple

T4049306
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3 E84144 entity
Predicate connectedTo P37 FINISHED
Object Heathrow Express E46241 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: Heathrow Express | Statement: [Terminal 3, connectedTo, Heathrow Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heathrow Express
Context triple: [Terminal 3, connectedTo, Heathrow Express]
  • A. Heathrow Express chosen
    Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
  • B. Gatwick Express
    Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
  • C. Stansted Express
    Stansted Express is a dedicated high-speed train service linking London Liverpool Street with Stansted Airport, providing frequent rail connections for air travelers.
  • D. Eurotunnel Shuttle
    Eurotunnel Shuttle is a rail freight and passenger shuttle service that carries vehicles and their occupants through the Channel Tunnel between the United Kingdom and France.
  • E. Capital Airport Express
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb82d1a08190aa8c5c48d368b58b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55656ecbc819093f23636a7f72f36 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.