Triple

T23183051
Position Surface form Disambiguated ID Type / Status
Subject Afterpay Limited E579510 entity
Predicate competitor P1375 FINISHED
Object Zip Co
Zip Co is an Australian buy-now-pay-later financial technology company that provides interest-free installment payment solutions to consumers and merchants.
E1572440 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: Zip Co | Statement: [Afterpay Limited, competitor, Zip Co]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zip Co
Context triple: [Afterpay Limited, competitor, Zip Co]
  • A. Fezco
    Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
  • B. Zaks
    Zaks is a surname most notably associated with Jerry Zaks, a prominent American theater director and actor.
  • C. Speedco
    Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
  • D. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • E. Coop
    Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
  • 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: Zip Co
Triple: [Afterpay Limited, competitor, Zip Co]
Generated description
Zip Co is an Australian buy-now-pay-later financial technology company that provides interest-free installment payment solutions to consumers and merchants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zip Co
Target entity description: Zip Co is an Australian buy-now-pay-later financial technology company that provides interest-free installment payment solutions to consumers and merchants.
  • A. Fezco
    Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
  • B. Zaks
    Zaks is a surname most notably associated with Jerry Zaks, a prominent American theater director and actor.
  • C. Speedco
    Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
  • D. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • E. Coop
    Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f705c14819082c8580a03ed6286 completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30b3e07481908a4867997cbc5588 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c314598d081908816ff2bee9b192a completed May 19, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3245c9808190ab5212a14aa2e42e completed May 19, 2026, 9:49 a.m.
Created at: April 17, 2026, 4:05 p.m.