Triple

T4308241
Position Surface form Disambiguated ID Type / Status
Subject Southend Airport railway station E94009 entity
Predicate hasIATAAirportConnection P2569 FINISHED
Object SEN E94005 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: SEN | Statement: [Southend Airport railway station, hasIATAAirportConnection, SEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEN
Context triple: [Southend Airport railway station, hasIATAAirportConnection, SEN]
  • A. SEN chosen
    SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
  • B. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • C. SN
    SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
  • D. SN
    SN is the commonly used abbreviation for NASA’s Space Network, a system of satellites and ground stations that relays communications between spacecraft and Earth.
  • E. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • 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: hasIATAAirportConnection
Context triple: [Southend Airport railway station, hasIATAAirportConnection, SEN]
  • A. connectsWithAirport
    Indicates that there is a direct transportation or operational link established between an entity and an airport.
  • B. hasIATAcode chosen
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • C. hasLandsideConnection
    Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
  • D. hasEndpointAirport
    Indicates that something, such as a route or flight, has a specific airport as one of its terminal endpoints.
  • E. hasAirsideConnection
    Indicates that there is a direct, secure connection between areas past security (airside) of two locations, allowing passengers to transfer without re-clearing security or immigration.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07aede08190bbabc6a7b5a7dfb6 completed March 14, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69b34f4a07b08190a06ada0d9cbb14fb completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:11 p.m.