Triple

T23314803
Position Surface form Disambiguated ID Type / Status
Subject Northern Medical Program E590674 entity
Predicate hasAbbreviation P43 FINISHED
Object NMP
NMP is the abbreviation for the Northern Medical Program, a distributed medical education program serving northern British Columbia, Canada.
 E1579457 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: NMP | Statement: [Northern Medical Program, hasAbbreviation, NMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMP
Context triple: [Northern Medical Program, hasAbbreviation, NMP]
  • A. NMP
    NMP is the three-letter National Rail station code assigned to Northampton railway station in Northampton, England.
  • B. NSMP
    NSMP is an energy infrastructure company that operates natural gas processing and transportation facilities in the North Sea region.
  • C. NOM
    NOM is the vehicle registration code assigned to the district of Northeim in Lower Saxony, Germany.
  • D. ENMP
    ENMP is the abbreviation for the École Normale de Musique de Paris, a prestigious Parisian music conservatory known for its high-level professional training of musicians and composers.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • 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: NMP
Triple: [Northern Medical Program, hasAbbreviation, NMP]
Generated description
NMP is the abbreviation for the Northern Medical Program, a distributed medical education program serving northern British Columbia, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMP
Target entity description: NMP is the abbreviation for the Northern Medical Program, a distributed medical education program serving northern British Columbia, Canada.
  • A. NMP
    NMP is the three-letter National Rail station code assigned to Northampton railway station in Northampton, England.
  • B. NSMP
    NSMP is an energy infrastructure company that operates natural gas processing and transportation facilities in the North Sea region.
  • C. NOM
    NOM is the vehicle registration code assigned to the district of Northeim in Lower Saxony, Germany.
  • D. ENMP
    ENMP is the abbreviation for the École Normale de Musique de Paris, a prestigious Parisian music conservatory known for its high-level professional training of musicians and composers.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197805a08819082af5c46a21b4c57 completed April 29, 2026, 5:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4ca2fb888190931e944c3df87188 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e669b6481909f198d1c51b68bf3 completed May 19, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f011a188190b801f2ae0f134356 completed May 19, 2026, 11:52 a.m.
Created at: April 17, 2026, 5:06 p.m.