Triple

T8916400
Position Surface form Disambiguated ID Type / Status
Subject Spartan Ephors E212305 entity
Predicate meetsAt P373 FINISHED
Object Sparta E56539 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: Sparta | Statement: [Spartan Ephors, meetsAt, Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta
Context triple: [Spartan Ephors, meetsAt, Sparta]
  • A. Sparta chosen
    Sparta was a prominent ancient Greek city-state known for its militaristic society, rigorous citizen training, and dominant land-based army.
  • B. Sparta
    Sparta is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • C. Athens and Sparta
    Athens and Sparta were the two leading city-states of ancient Greece, renowned for their contrasting democratic and militaristic societies and their rivalry during the Peloponnesian War.
  • D. Argeia
    Argeia is a figure in Greek mythology known primarily as the daughter of King Adrastus of Argos and the wife of Polynices, one of the Seven against Thebes.
  • E. Argives
    The Argives were the inhabitants of the ancient Greek city-state of Argos, often prominent participants in Greek myth and history, including the legendary Trojan War.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6610cd48819090a184c5f9465626 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc932f9848190a2571cfc28353088 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:56 p.m.