Triple

T22421741
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Tanabe Pharma E554263 entity
Predicate alternativeName P39 FINISHED
Object MTPC
MTPC is a Japanese pharmaceutical company known for developing and marketing prescription drugs and specialty therapies, particularly in neurology and immunology.
 E1536579 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: MTPC | Statement: [Mitsubishi Tanabe Pharma, alternativeName, MTPC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTPC
Context triple: [Mitsubishi Tanabe Pharma, alternativeName, MTPC]
  • A. MTP
    MTP is the National Rail station code for Montpelier railway station in Bristol, England.
  • B. MTPP
    MTPP is the ICAO airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
  • C. MTPD
    MTPD is the law enforcement agency responsible for policing the Washington Metropolitan Area Transit Authority’s transit system, including Metrorail and Metrobus.
  • D. MPRT
    MPRT is the Swedish Press and Broadcasting Authority responsible for supervising and regulating press, radio, and television in Sweden.
  • E. MPC
    MPC is a widely used music production sampler and sequencer, especially popular in hip-hop for its pad-based beat-making workflow.
  • 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: MTPC
Triple: [Mitsubishi Tanabe Pharma, alternativeName, MTPC]
Generated description
MTPC is a Japanese pharmaceutical company known for developing and marketing prescription drugs and specialty therapies, particularly in neurology and immunology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTPC
Target entity description: MTPC is a Japanese pharmaceutical company known for developing and marketing prescription drugs and specialty therapies, particularly in neurology and immunology.
  • A. MTP
    MTP is the National Rail station code for Montpelier railway station in Bristol, England.
  • B. MTPP
    MTPP is the ICAO airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
  • C. MTPD
    MTPD is the law enforcement agency responsible for policing the Washington Metropolitan Area Transit Authority’s transit system, including Metrorail and Metrobus.
  • D. MPRT
    MPRT is the Swedish Press and Broadcasting Authority responsible for supervising and regulating press, radio, and television in Sweden.
  • E. MPC
    MPC is a widely used music production sampler and sequencer, especially popular in hip-hop for its pad-based beat-making workflow.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594b08d88190bb61a30397d0ffa5 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0ee77208190b037b3baea224767 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0b08d42f148190a6dafbd6ef40727a completed May 18, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b09afe1948190bf7bd09e637e9089 completed May 18, 2026, 12:44 p.m.
Created at: April 16, 2026, 8:46 p.m.