Triple

T13639418
Position Surface form Disambiguated ID Type / Status
Subject Food and Environmental Hygiene Department E325934 entity
Predicate abbreviation P43 FINISHED
Object FEHD
FEHD is Hong Kong’s government department responsible for food safety, public health, and environmental hygiene services.
 E1052571 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: FEHD | Statement: [Food and Environmental Hygiene Department, abbreviation, FEHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FEHD
Context triple: [Food and Environmental Hygiene Department, abbreviation, FEHD]
  • A. EDFE
    EDFE is the ICAO airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • B. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • C. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • D. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • E. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • 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: FEHD
Triple: [Food and Environmental Hygiene Department, abbreviation, FEHD]
Generated description
FEHD is Hong Kong’s government department responsible for food safety, public health, and environmental hygiene services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FEHD
Target entity description: FEHD is Hong Kong’s government department responsible for food safety, public health, and environmental hygiene services.
  • A. EDFE
    EDFE is the ICAO airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • B. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • C. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • D. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • E. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af46fe481909c6f9a6f58f887d1 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:51 p.m.