Triple

T1367273
Position Surface form Disambiguated ID Type / Status
Subject Soter E30031 entity
Predicate appliedTo P1129 FINISHED
Object Asclepius E28749 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: Asclepius | Statement: [Soter, appliedTo, Asclepius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asclepius
Context triple: [Soter, appliedTo, Asclepius]
  • A. Asclepius chosen
    Asclepius is the ancient Greek god of medicine and healing, revered for his ability to cure illness and restore health.
  • B. Dorotheus
    Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
  • C. Aristaeus
    Aristaeus is a minor Greek god associated with agriculture, beekeeping, and pastoral pursuits, often revered as a culture hero who taught humans various rural arts.
  • D. Dioscorus
    Dioscorus is traditionally depicted in Christian hagiography as the pagan father of Saint Barbara who opposed her conversion and ultimately martyred her.
  • E. Hygieia
    Hygieia is the Greek goddess associated with health, cleanliness, and hygiene, often linked to the prevention of illness.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47f25c48190a27f87909c15d7c3 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:57 p.m.