Triple

T3110916
Position Surface form Disambiguated ID Type / Status
Subject Tavira railway station E64947 entity
Predicate countryRailNetwork P24517 FINISHED
Object Portuguese railway network E63153 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: Portuguese railway network | Statement: [Tavira railway station, countryRailNetwork, Portuguese railway network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese railway network
Context triple: [Tavira railway station, countryRailNetwork, Portuguese railway network]
  • A. Portuguese national rail network chosen
    The Portuguese national rail network is the countrywide system of railway lines and infrastructure in Portugal that supports passenger and freight train services across the nation.
  • B. Portuguese national road network
    The Portuguese national road network is the country’s integrated system of major roads and highways that connects regions, cities, and key economic areas across Portugal.
  • C. Lisbon public transport network
    The Lisbon public transport network is the integrated system of trams, buses, metro lines, funiculars, lifts, and suburban trains that serves the city of Lisbon and its surrounding areas.
  • D. Algarve line
    The Algarve line is a major railway route in southern Portugal that connects the region’s coastal towns and cities along the Algarve.
  • E. Linha de Cascais
    Linha de Cascais is a coastal suburban railway line in the Lisbon metropolitan area of Portugal, connecting central Lisbon to the seaside town of Cascais.
  • 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: countryRailNetwork
Context triple: [Tavira railway station, countryRailNetwork, Portuguese railway network]
  • A. railroadNetwork chosen
    Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
  • B. railNetworkRole
    Indicates the specific function or responsibility an entity has within a rail network system.
  • C. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • D. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • E. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43954f0819096a96331bf3c53a8 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.