Triple

T1906968
Position Surface form Disambiguated ID Type / Status
Subject Classical Greece E38025 entity
Predicate hasMajorCity P316 FINISHED
Object Argos E70939 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: Argos | Statement: [Classical Greece, hasMajorCity, Argos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argos
Context triple: [Classical Greece, hasMajorCity, Argos]
  • A. Argos chosen
    Argos is one of the oldest continuously inhabited cities in Greece, located in the Peloponnese and historically significant as a major center of ancient Greek civilization.
  • B. Argos
    Argos is the common nickname for the Toronto Argonauts, a professional Canadian Football League team based in Toronto.
  • C. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • D. Dictys
    Dictys is a fisherman and brother of King Polydectes in Greek mythology who discovers and shelters Perseus and his mother Danaë after they wash ashore.
  • E. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b44174819084fa06faf1930221 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafb063481908a08f5570acc5b57 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.