Triple

T5130385
Position Surface form Disambiguated ID Type / Status
Subject Farringdon station E115681 entity
Predicate hasStationCode P1289 FINISHED
Object ZFD E496180 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: ZFD | Statement: [Farringdon station, hasStationCode, ZFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZFD
Context triple: [Farringdon station, hasStationCode, ZFD]
  • A. ZFD chosen
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • B. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • C. ZFF
    ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
  • D. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • E. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7827c764819086da3b79f2020224 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfd90a848190a1c78063a437cf3c completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:42 p.m.