Triple

T810035
Position Surface form Disambiguated ID Type / Status
Subject Aristotle E17522 entity
Predicate founded P104 FINISHED
Object Lyceum E76241 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: Lyceum | Statement: [Aristotle, founded, Lyceum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyceum
Context triple: [Aristotle, founded, Lyceum]
  • A. Lyceum of Aristotle chosen
    The Lyceum of Aristotle was an influential philosophical school in ancient Athens where Aristotle taught and developed many foundational ideas in logic, science, and metaphysics.
  • B. Gymnasium
    Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
  • C. Butler School
    Butler School is a public elementary school serving young students in the town of Belmont, Massachusetts.
  • D. Athenaeum Illustre
    Athenaeum Illustre was the 17th-century predecessor institution in Amsterdam that evolved into the modern University of Amsterdam.
  • E. Blume High School
    Blume High School is an educational institution best known as the high school attended by astronaut and first Moon-walker Neil A. Armstrong.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab26d36c8190800e98890b7ae08e completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928d2ee8819091dbef1dd5272f6f completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.