Triple

T4014137
Position Surface form Disambiguated ID Type / Status
Subject Haymarket Metro station E90714 entity
Predicate ownedBy P347 FINISHED
Object Nexus E83363 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: Nexus | Statement: [Haymarket Metro station, ownedBy, Nexus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nexus
Context triple: [Haymarket Metro station, ownedBy, Nexus]
  • A. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • B. Nexus chosen
    Nexus is the public transport executive and passenger transport authority responsible for overseeing and managing services such as the Tyne and Wear Metro in North East England.
  • C. Genisys
    Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
  • D. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • E. Telos
    Telos is an icy, subterranean planet in the Doctor Who universe best known as a major stronghold and tomb world of the Cybermen.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8ad6348190b71feaf8c18c90c2 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c73e6048190a59a8d8bc12c907d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.