Triple

T7031305
Position Surface form Disambiguated ID Type / Status
Subject Organ Procurement and Transplantation Network E163276 entity
Predicate abbreviation P43 FINISHED
Object OPTN
OPTN is the U.S. national system that manages the organ transplant waiting list and oversees the allocation and distribution of donated organs.
 E637327 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: OPTN | Statement: [Organ Procurement and Transplantation Network, abbreviation, OPTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPTN
Context triple: [Organ Procurement and Transplantation Network, abbreviation, OPTN]
  • A. OPT
    OPT is a family of open-source large language models developed by Meta AI, designed as efficient, GPT-style transformer models for natural language processing tasks.
  • B. OXT
    OXT is the National Rail station code for Oxted railway station in Surrey, England.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • E. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • 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: OPTN
Triple: [Organ Procurement and Transplantation Network, abbreviation, OPTN]
Generated description
OPTN is the U.S. national system that manages the organ transplant waiting list and oversees the allocation and distribution of donated organs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPTN
Target entity description: OPTN is the U.S. national system that manages the organ transplant waiting list and oversees the allocation and distribution of donated organs.
  • A. OPT
    OPT is a family of open-source large language models developed by Meta AI, designed as efficient, GPT-style transformer models for natural language processing tasks.
  • B. OXT
    OXT is the National Rail station code for Oxted railway station in Surrey, England.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • E. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e20ee1208190811be10a84e7d8a4 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775980920819081d31b8d2843fb3d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77aa1c704819088a9561ac55f9037 completed March 28, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_69c77b082f3c8190a649297ce0f816bb completed March 28, 2026, 6:54 a.m.
Created at: March 27, 2026, 2:35 p.m.