Triple

T9371115
Position Surface form Disambiguated ID Type / Status
Subject Marcus Claudius Marcellus E225530 entity
Predicate knownForTreatmentOf P88196 FINISHED
Object plunder of art treasures from Syracuse 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: plunder of art treasures from Syracuse | Statement: [Marcus Claudius Marcellus, knownForTreatmentOf, plunder of art treasures from Syracuse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: knownForTreatmentOf
Context triple: [Marcus Claudius Marcellus, knownForTreatmentOf, plunder of art treasures from Syracuse]
  • A. usesTreatment
    Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
  • B. treats
    Indicates that one entity provides medical care or therapeutic intervention to another entity.
  • C. hasCommonTreatment
    Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
  • D. medicinalUse
    Indicates that one entity is used as a treatment or remedy for a disease, condition, or health-related purpose affecting another entity.
  • E. treatsConditionType
    Indicates that one entity (typically a treatment, procedure, or intervention) is used to address, manage, or cure a particular type or category of medical condition.
  • F. None of above. chosen

Provenance (4 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5083cbb8819088e8cef26be1b380 completed April 1, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69cc7a6abb8c81908c7a2f4ee92cc949 completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc955a38108190b602d1e73725f11b completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:43 p.m.