Triple

T19941834
Position Surface form Disambiguated ID Type / Status
Subject Euripides’ lost play "Antigone" E479323 entity
Predicate alternativeTreatmentOf P137939 FINISHED
Object story of Antigone 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: story of Antigone | Statement: [Euripides’ lost play "Antigone", alternativeTreatmentOf, story of Antigone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alternativeTreatmentOf
Context triple: [Euripides’ lost play "Antigone", alternativeTreatmentOf, story of Antigone]
  • A. hasAlternativeMedicinePresence
    Indicates that an entity is associated with, offers, or includes the use or presence of alternative medicine practices or services.
  • B. knownForTreatmentOf
    Indicates that an entity is recognized or notable for providing treatment or medical care for a particular condition, disease, or type of patient.
  • C. usesTreatment
    Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
  • D. exportTreatment
    Indicates the action or process of sending or transferring a treatment (such as a medical, data, or procedural treatment) from one system, location, or context to another for external use or application.
  • E. treats
    Indicates that one entity provides medical care or therapeutic intervention to another entity.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6318848190a1dd3e0a6fea3fe2 completed April 20, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.