Triple

T8320252
Position Surface form Disambiguated ID Type / Status
Subject Hereford railway station E194812 entity
Predicate stationCode P1289 FINISHED
Object HFD
HFD is the three-letter National Rail station code assigned to Hereford railway station in Herefordshire, England.
 E727896 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: HFD | Statement: [Hereford railway station, stationCode, HFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFD
Context triple: [Hereford railway station, stationCode, HFD]
  • A. HFD
    HFD is the Supreme Administrative Court of Sweden, the highest judicial authority for administrative law cases in the country.
  • B. HFD
    HFD is the common abbreviation used for the Hartford Yard Goats, a Minor League Baseball team based in Hartford, Connecticut.
  • C. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. FAD
    FAD is the Faculty of Arts and Design at the University of Canberra, offering creative and humanities-focused education and research programs.
  • 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: HFD
Triple: [Hereford railway station, stationCode, HFD]
Generated description
HFD is the three-letter National Rail station code assigned to Hereford railway station in Herefordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFD
Target entity description: HFD is the three-letter National Rail station code assigned to Hereford railway station in Herefordshire, England.
  • A. HFD
    HFD is the Supreme Administrative Court of Sweden, the highest judicial authority for administrative law cases in the country.
  • B. HFD
    HFD is the common abbreviation used for the Hartford Yard Goats, a Minor League Baseball team based in Hartford, Connecticut.
  • C. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. FAD
    FAD is the ICAO airline designator assigned to flyadeal, a Saudi Arabian low-cost carrier based in Jeddah.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f6686a0819094abc2bfd2e500a5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6fee5dc8190b2de22d210884e51 completed April 2, 2026, 1:31 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:55 p.m.