Triple

T24631986
Position Surface form Disambiguated ID Type / Status
Subject Royal College of Emergency Medicine E609697 entity
Predicate examinesForQualification P156843 FINISHED
Object FRCEM
FRCEM is a postgraduate qualification in emergency medicine awarded by the Royal College of Emergency Medicine to certify advanced specialist competence in the field.
 E1645648 NE FINISHED

How this triple was built (3 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: FRCEM | Statement: [Royal College of Emergency Medicine, examinesForQualification, FRCEM]
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: FRCEM
Triple: [Royal College of Emergency Medicine, examinesForQualification, FRCEM]
Generated description
FRCEM is a postgraduate qualification in emergency medicine awarded by the Royal College of Emergency Medicine to certify advanced specialist competence in the field.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: examinesForQualification
Context triple: [Royal College of Emergency Medicine, examinesForQualification, FRCEM]
  • A. qualifyingFor
    Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
  • B. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • C. hasQualificationCriteria
    Indicates that there are specific conditions or standards that must be met for something to be considered eligible or acceptable.
  • D. providedQualificationFor
    Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
  • E. determinedQualificationFor
    Indicates that one entity has assessed and established another entity’s eligibility or suitability for a specific role, status, or requirement.
  • F. None of above. chosen

Provenance (7 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_69e2c4d1d3708190a0f2dc6a3a8523bb completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be064ff88190b5d9e5ec75a41242 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100489a6408190b544f96761c4d1f2 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10096a949c8190a5367eb6d2fd2c4f completed May 22, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a1009d311b08190acf35a3ed552b9c1 completed May 22, 2026, 7:46 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
PDg Predicate description generation batch_69f2b8b8bc5881908df49c0b07110246 completed April 30, 2026, 2:04 a.m.
Created at: April 18, 2026, 2:32 a.m.