Triple

T20580321
Position Surface form Disambiguated ID Type / Status
Subject Portuguese East Africa E505633 entity
Predicate mainRailwayHub P64887 FINISHED
Object Beira NE NERFINISHED

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: Beira | Statement: [Portuguese East Africa, mainRailwayHub, Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beira
Context triple: [Portuguese East Africa, mainRailwayHub, Beira]
  • A. Beira chosen
    Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
  • B. Beira (Portugal)
    Beira is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and role as a traditional territorial division of the country.
  • C. Lourenço Marques
    Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
  • D. Porto Amboim
    Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime trade.
  • E. Cantanhede
    Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
  • 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: mainRailwayHub
Context triple: [Portuguese East Africa, mainRailwayHub, Beira]
  • A. railNetworkCenter chosen
    Indicates that a location functions as a central hub or focal point within a rail transportation network.
  • B. railroadMet
    Indicates that two or more railroads encountered or connected with each other at a specific place or time.
  • C. coordinatesRailTrafficWith
    Indicates that one entity organizes and synchronizes rail operations or movements with another entity to ensure coordinated train traffic.
  • D. connectsToRailStation
    Indicates that one entity has a direct link, route, or access connection to a rail station.
  • E. railwayJunctionFor
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • F. None of above.

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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90dd3e881908915debe1f1e8509 completed April 20, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69e59fffe1748190825e4eaa90340631 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:39 a.m.