Triple

T14343152
Position Surface form Disambiguated ID Type / Status
Subject Martin Odersky E355650 entity
Predicate knownFor P22 FINISHED
Object Scala programming language E71988 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: Scala programming language | Statement: [Martin Odersky, knownFor, Scala programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scala programming language
Context triple: [Martin Odersky, knownFor, Scala programming language]
  • A. Scala
    Scala is a historic hilltop town on Italy’s Amalfi Coast, known for its medieval architecture, terraced landscapes, and panoramic views over the surrounding coastline.
  • B. Scala chosen
    Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
  • C. Scala Center
    Scala Center is a non-profit organization at EPFL dedicated to the stewardship, education, and open-source development of the Scala programming language and its ecosystem.
  • D. Snowpark for Scala
    Snowpark for Scala is a developer framework that lets Scala users build and run data pipelines and applications directly in Snowflake using familiar Scala APIs.
  • E. Scala Inc.
    Scala Inc. is a company specializing in digital signage and visual communication solutions, known for developing hardware and software platforms for dynamic display networks.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.