Triple

T13891563
Position Surface form Disambiguated ID Type / Status
Subject Northern Line (Portugal) E333982 entity
Predicate connectsWith P37 FINISHED
Object Minho Line E996718 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: Minho Line | Statement: [Northern Line (Portugal), connectsWith, Minho Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minho Line
Context triple: [Northern Line (Portugal), connectsWith, Minho Line]
  • A. Minho Line chosen
    Minho Line is a Portuguese railway route in the north of Portugal that runs along the Minho River, connecting Porto to the Spanish border.
  • B. Janghang Line
    The Janghang Line is a railway line in western South Korea that runs along the west coast, linking cities such as Gunsan with the national rail network.
  • C. Seohae Line
    The Seohae Line is a commuter rail line in South Korea that serves the western Seoul metropolitan area, connecting cities such as Hwaseong with other parts of the region.
  • D. Donghae Line
    The Donghae Line is a railway line in South Korea that runs along the country’s eastern coast, connecting major cities and districts in the Busan–Ulsan–Pohang region.
  • E. Gyeonggang Line
    The Gyeonggang Line is a South Korean railway line that forms part of the high-speed and commuter rail network, connecting regions in the Seoul metropolitan area and beyond.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.