Triple

T17206100
Position Surface form Disambiguated ID Type / Status
Subject Iri E417605 entity
Predicate associatedWith P37 FINISHED
Object ancient 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: ancient Sparta | Statement: [Iri, associatedWith, ancient Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ancient Sparta
Context triple: [Iri, associatedWith, ancient Sparta]
  • 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. SPARTA
    SPARTA (Spartanburg Area Regional Transit Agency) is the public transportation system serving the Spartanburg, South Carolina area with fixed-route and paratransit bus services.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc193488190a2c5a48ce7f631a9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.