Triple

T5130381
Position Surface form Disambiguated ID Type / Status
Subject Farringdon station E115681 entity
Predicate railcode P27071 FINISHED
Object ZFD
ZFD is the National Rail station code used to identify Farringdon railway station in London.
E496180 NE FINISHED

How this triple was built (4 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, railcode, ZFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZFD
Context triple: [Farringdon station, railcode, ZFD]
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZFF
    ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
  • C. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • D. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • E. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZFD
Triple: [Farringdon station, railcode, ZFD]
Generated description
ZFD is the National Rail station code used to identify Farringdon railway station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZFD
Target entity description: ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZFF
    ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
  • C. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • D. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • E. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • F. None of above. chosen

Provenance (5 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_69bec4c626a48190b2fd81b88b5a59cc completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec6728eac81908b795a7ce55f40b2 completed March 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69bec7895aac81908dd6388c05abb75e completed March 21, 2026, 4:30 p.m.
Created at: March 20, 2026, 1:42 p.m.