Triple

T21325328
Position Surface form Disambiguated ID Type / Status
Subject Hammersmith tube station E525738 entity
Predicate hasStationCode P1289 FINISHED
Object HMD NE NERFINISHED

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: HMD | Statement: [Hammersmith tube station, hasStationCode, HMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMD
Context triple: [Hammersmith tube station, hasStationCode, HMD]
  • A. HMD
    HMD is the commonly used abbreviation for Holocaust Memorial Day in the United Kingdom, a national day of remembrance for the victims of the Holocaust and subsequent genocides.
  • B. HMD
    HMD is the three-letter station code used to identify Hampstead tube station on the London Underground network.
  • C. HMD chosen
    HMD is the three-letter station code used to identify Hammersmith tube station on the Piccadilly and District lines of the London Underground.
  • D. HMD Global
    HMD Global is a Finnish consumer electronics company best known for designing and marketing Nokia-branded mobile phones and smartphones.
  • E. Noki
    Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4843088190a4fa1cc87f0ca824 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.