Triple

T9029542
Position Surface form Disambiguated ID Type / Status
Subject Zcash E216133 entity
Predicate hasTickerSymbol P1447 FINISHED
Object ZEC
ZEC is the cryptocurrency token used by the privacy-focused blockchain network Zcash.
 E773516 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: ZEC | Statement: [Zcash, hasTickerSymbol, ZEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZEC
Context triple: [Zcash, hasTickerSymbol, ZEC]
  • A. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • B. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • C. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • D. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • E. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • 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: ZEC
Triple: [Zcash, hasTickerSymbol, ZEC]
Generated description
ZEC is the cryptocurrency token used by the privacy-focused blockchain network Zcash.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZEC
Target entity description: ZEC is the cryptocurrency token used by the privacy-focused blockchain network Zcash.
  • A. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • B. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • C. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • D. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • E. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfde57a18c8190b4b8c8d2f521bd2c completed April 3, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfdec619d081909fd6b268f4ce06b9 completed April 3, 2026, 3:37 p.m.
Created at: March 30, 2026, 7:08 p.m.