Triple

T8108497
Position Surface form Disambiguated ID Type / Status
Subject National Institute for Health and Care Excellence E189285 entity
Predicate abbreviation P43 FINISHED
Object NICE
NICE is the United Kingdom’s national body that develops evidence-based guidance and standards to improve health and social care.
 E712646 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: NICE | Statement: [National Institute for Health and Care Excellence, abbreviation, NICE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NICE
Context triple: [National Institute for Health and Care Excellence, abbreviation, NICE]
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • C. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • D. NCE
    NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
  • E. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • 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: NICE
Triple: [National Institute for Health and Care Excellence, abbreviation, NICE]
Generated description
NICE is the United Kingdom’s national body that develops evidence-based guidance and standards to improve health and social care.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NICE
Target entity description: NICE is the United Kingdom’s national body that develops evidence-based guidance and standards to improve health and social care.
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • C. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • D. NCE
    NCE is the three-letter IATA airport code for Nice Côte d’Azur Airport, the main international airport serving Nice and the French Riviera.
  • E. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94198fdc8190bcf3c6285e52fdd3 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc95bfb2b08190ae4bbf8fdde3165d completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.