Triple

T3642191
Position Surface form Disambiguated ID Type / Status
Subject Agesilaus E77213 entity
Predicate setting P1957 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: [Agesilaus, setting, Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta
Context triple: [Agesilaus, setting, 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. 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.
  • C. 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.
  • D. Ateni
    Ateni is a historic village in eastern Georgia known for its nearby medieval Ateni Sioni Church and scenic river valley setting.
  • E. Macedon
    Macedon was an ancient kingdom in the northern Greek peninsula that rose to prominence under Philip II and his son Alexander the Great, becoming the center of a vast empire.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc359a91481908aef1c022f45e55c completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882803e481908bc716c8beda3c73 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:24 p.m.