Triple

T12359323
Position Surface form Disambiguated ID Type / Status
Subject Wembley Central E294690 entity
Predicate hasSymbol P129 FINISHED
Object Overground E256314 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: Overground | Statement: [Wembley Central, hasSymbol, Overground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Overground
Context triple: [Wembley Central, hasSymbol, Overground]
  • A. Overground chosen
    Overground is a suburban rail network in London that connects various districts and suburbs, complementing the London Underground system.
  • B. The Underground
    "The Underground" is a poem by Seamus Heaney that reflects on love, memory, and artistic inspiration through the metaphor of a journey on the London Underground.
  • C. Going Underground
    "Going Underground" is a politically charged 1980 single by British mod revival band The Jam that became one of their most iconic and commercially successful songs.
  • D. Underground
    Underground is a 1941 World War II espionage film in which Karen Verne plays a key role, contributing to her recognition as a German-born actress in Hollywood.
  • E. Underground
    Underground is the rapid transit system serving London and some surrounding areas, commonly known as the London Underground or the Tube.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f90201481909359416b8b9f7871 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab771448190b7f76e424ec0b4b5 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.