Triple

T2679487
Position Surface form Disambiguated ID Type / Status
Subject Sparta E56539 entity
Predicate trainingSystem P11879 FINISHED
Object Agoge E288238 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: Agoge | Statement: [Sparta, trainingSystem, Agoge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agoge
Context triple: [Sparta, trainingSystem, Agoge]
  • A. Agoge chosen
    Agoge was the rigorous state-sponsored education and training system in ancient Sparta that prepared male citizens for a life of military service and discipline.
  • B. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • C. Aposticha
    Aposticha are a series of hymns with psalm verses chanted near the end of Orthodox Christian Vespers and other services, often highlighting the theme of the feast or liturgical day.
  • D. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d141888190bbd63e7a2b970fa0 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf57675c8190a0c4a5fb674c4df6 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.