Triple

T3793821
Position Surface form Disambiguated ID Type / Status
Subject Hyacinthus E89720 entity
Predicate origin P410 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: [Hyacinthus, origin, Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta
Context triple: [Hyacinthus, origin, 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. 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.
  • C. Argolid
    Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
  • D. Hieria
    Hieria was an imperial suburb of Constantinople on the Asian shore of the Bosporus, known as the site of the 8th-century iconoclastic Council of Hieria.
  • E. Arcádia
    Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.