Triple

T13467773
Position Surface form Disambiguated ID Type / Status
Subject Ancient Megara E311546 entity
Predicate alliedWith P37 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: [Ancient Megara, alliedWith, Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta
Context triple: [Ancient Megara, alliedWith, 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. Sparta
    Sparta is a historic village in Elgin County, Ontario, known for its 19th-century heritage buildings and roots as a Quaker settlement.
  • D. 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.
  • E. 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.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf101a1081909f2aba6da47baacc completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461814dc8190aaaefc648da75246 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:42 p.m.