Triple

T3591420
Position Surface form Disambiguated ID Type / Status
Subject Peace of Nicias E76032 entity
Predicate effectOnAthens P10973 FINISHED
Object allowed consolidation of empire for a time LITERAL 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: allowed consolidation of empire for a time | Statement: [Peace of Nicias, effectOnAthens, allowed consolidation of empire for a time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOnAthens
Context triple: [Peace of Nicias, effectOnAthens, allowed consolidation of empire for a time]
  • A. impactOnConstantinople
    Indicates a relationship where one entity has an effect, influence, or consequence specifically on the city of Constantinople.
  • B. affectedCity chosen
    Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
  • C. strategicEffectOfVictory
    Indicates that a victory produces a broader strategic impact or consequence beyond the immediate outcome of the conflict or contest.
  • D. effectOnSystem
    Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
  • E. effectOnInstitution
    Indicates the impact or influence that one entity, event, or action has on an institution’s state, functioning, or outcomes.
  • F. None of above.

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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1581278819081dd73b4c71e422e completed March 8, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69adb839b4e08190b1c0d611cccb11ae completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.