Triple

T13920792
Position Surface form Disambiguated ID Type / Status
Subject Gunnersbury station E334735 entity
Predicate symbol 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: [Gunnersbury station, symbol, Overground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Overground
Context triple: [Gunnersbury station, symbol, 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 non-fiction book by Haruki Murakami that explores the 1995 Tokyo subway sarin gas attack through interviews with victims and members of the Aum Shinrikyo cult.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.