Triple

T12103167
Position Surface form Disambiguated ID Type / Status
Subject Agoge E288238 entity
Predicate sponsor P67 FINISHED
Object Spartan state 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: Spartan state | Statement: [Agoge, sponsor, Spartan state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spartan state
Context triple: [Agoge, sponsor, Spartan state]
  • A. Sparta
    Sparta is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • B. Sparta chosen
    Sparta was a prominent ancient Greek city-state known for its militaristic society, rigorous citizen training, and dominant land-based army.
  • C. Sparta
    Sparta is a historic village in Elgin County, Ontario, known for its 19th-century heritage buildings and roots as a Quaker settlement.
  • D. Spartan society
    Spartan society was the highly militarized and hierarchical city-state of ancient Greece centered on Sparta, renowned for its rigorous citizen training, austere lifestyle, and reliance on a large population of subjugated laborers.
  • E. Achaean League
    The Achaean League was a confederation of Greek city-states in the Hellenistic period that became a major political and military power in the Peloponnese before its defeat by Rome.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915568b9881909fc9edacefb86409 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7140c4819086a2dcb2cf334963 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.