Triple

T4443760
Position Surface form Disambiguated ID Type / Status
Subject Erlang E96230 entity
Predicate influenced P9 FINISHED
Object Akka E355653 NE FINISHED

How this triple was built (2 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: Akka | Statement: [Erlang, influenced, Akka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akka
Context triple: [Erlang, influenced, Akka]
  • A. Akka
    Akka is an alternative name for Acre, a historic port city in present-day Israel known for its Crusader-era fortifications and diverse cultural heritage.
  • B. Akka chosen
    Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM, widely used within the Scala ecosystem.
  • C. Arcadio
    Arcadio is a character in Gabriel García Márquez's novel "One Hundred Years of Solitude," a member of the Buendía family who briefly rules Macondo as a harsh and inexperienced dictator.
  • D. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • E. Shabaka
    Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355b052688190a0d8e5912f82151c completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.