Triple

T22690628
Position Surface form Disambiguated ID Type / Status
Subject Vitrakvi E561039 entity
Predicate targets P860 FINISHED
Object TRKA
TRKA is a receptor tyrosine kinase encoded by the NTRK1 gene that mediates nerve growth factor signaling and is implicated in certain cancers through activating gene fusions.
 E1549338 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: TRKA | Statement: [Vitrakvi, targets, TRKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRKA
Context triple: [Vitrakvi, targets, TRKA]
  • A. TRZ
    TRZ is the IATA airport code for Tiruchirappalli International Airport, a major air gateway serving the city of Tiruchirappalli in the Indian state of Tamil Nadu.
  • B. TRZ
    TRZ is the stock ticker symbol for Trizec Properties, a former publicly traded real estate investment trust focused on commercial office properties.
  • C. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • D. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • E. TRA
    TRA is the National Rail station code assigned to Trafford Park railway station in Greater Manchester, England.
  • 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: TRKA
Triple: [Vitrakvi, targets, TRKA]
Generated description
TRKA is a receptor tyrosine kinase encoded by the NTRK1 gene that mediates nerve growth factor signaling and is implicated in certain cancers through activating gene fusions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRKA
Target entity description: TRKA is a receptor tyrosine kinase encoded by the NTRK1 gene that mediates nerve growth factor signaling and is implicated in certain cancers through activating gene fusions.
  • A. TRZ
    TRZ is the IATA airport code for Tiruchirappalli International Airport, a major air gateway serving the city of Tiruchirappalli in the Indian state of Tamil Nadu.
  • B. TRZ
    TRZ is the stock ticker symbol for Trizec Properties, a former publicly traded real estate investment trust focused on commercial office properties.
  • C. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • D. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • E. TRA
    TRA is the National Rail station code assigned to Trafford Park railway station in Greater Manchester, England.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73fa5a648190b90ba303d1fe2397 completed May 18, 2026, 8:18 p.m.
NEDg Description generation batch_6a0b7755eb048190ba1657a9a09bc24b completed May 18, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b780c0a4c8190b51b50c1e0e1a114 completed May 18, 2026, 8:35 p.m.
Created at: April 17, 2026, 3:13 p.m.