Triple

T9955616
Position Surface form Disambiguated ID Type / Status
Subject Melesias E195438 entity
Predicate consults P488 FINISHED
Object Socrates E2377 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: Socrates | Statement: [Melesias, consults, Socrates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socrates
Context triple: [Melesias, consults, Socrates]
  • A. Socrates chosen
    Socrates was a classical Athenian philosopher renowned as a founder of Western philosophy, known for his method of questioning and his trial and execution in Athens.
  • B. Socrate
    Socrate is a minimalist, three-part vocal work by French composer Erik Satie, based on dialogues of Plato and noted for its serene, understated setting of the text.
  • C. Plato
    Plato is a municipality in Colombia’s Magdalena Department, known for its location in the Caribbean region and its role as a local administrative and commercial center.
  • D. Plato
    Plato was an ancient Greek philosopher, a student of Socrates and teacher of Aristotle, whose dialogues and ideas laid the foundations of Western philosophy.
  • E. Sakrat
    Sakrat is a regional name used in parts of India for the Hindu harvest festival widely known as Makar Sankranti.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257a164308190b88432b914ea7f1a completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:46 p.m.