Triple

T18641522
Position Surface form Disambiguated ID Type / Status
Subject Serena Ventures E455697 entity
Predicate portfolioCompany P43497 FINISHED
Object SendWave
SendWave is a fintech company that provides low-cost, mobile-based international money transfer services, particularly focused on remittances to Africa and other emerging markets.
 E1334757 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: SendWave | Statement: [Serena Ventures, portfolioCompany, SendWave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SendWave
Context triple: [Serena Ventures, portfolioCompany, SendWave]
  • A. GoSend
    GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
  • B. Sendim
    Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
  • C. Envoyer
    Envoyer is a zero-downtime deployment service created by the Laravel team for seamlessly deploying PHP and Laravel applications.
  • D. SMS Saida
    SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
  • E. Senden
    Senden is a town in the district of Neu-Ulm in Bavaria, Germany, known for its residential character and proximity to the cities of Ulm and Neu-Ulm.
  • 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: SendWave
Triple: [Serena Ventures, portfolioCompany, SendWave]
Generated description
SendWave is a fintech company that provides low-cost, mobile-based international money transfer services, particularly focused on remittances to Africa and other emerging markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SendWave
Target entity description: SendWave is a fintech company that provides low-cost, mobile-based international money transfer services, particularly focused on remittances to Africa and other emerging markets.
  • A. GoSend
    GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
  • B. Sendim
    Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
  • C. Envoyer
    Envoyer is a zero-downtime deployment service created by the Laravel team for seamlessly deploying PHP and Laravel applications.
  • D. SMS Saida
    SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
  • E. Senden
    Senden is a municipality in western Germany known for its rural character and proximity to the city of Münster in the state of North Rhine-Westphalia.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fccafec8190a340356d5bbd3cdf completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d8447e48190b496903add62b2bb completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050f560d088190bd23765330dcef47 completed May 13, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a050fc2dd2c81909e3c929f57b299d5 completed May 13, 2026, 11:56 p.m.
Created at: April 10, 2026, 11:47 a.m.