Triple

T12073074
Position Surface form Disambiguated ID Type / Status
Subject The Raven in the Foregate E287472 entity
Predicate hasForensicElement P103061 FINISHED
Object Cadfael’s herbal and medical knowledge 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: Cadfael’s herbal and medical knowledge | Statement: [The Raven in the Foregate, hasForensicElement, Cadfael’s herbal and medical knowledge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForensicElement
Context triple: [The Raven in the Foregate, hasForensicElement, Cadfael’s herbal and medical knowledge]
  • A. hasCrimeElement
    Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
  • B. hasMaterialEvidence
    Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
  • C. hasTechnicalElement
    Indicates that something includes, involves, or is characterized by a technical component, feature, or aspect.
  • D. hasCase
    Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
  • E. hasProcessOfRecognition
    Indicates that one entity is involved in or characterized by a process of recognizing, identifying, or acknowledging another entity or 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bda47c8190b94860b31df4a98c completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d91006e14081909838412df082f794 completed April 10, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:48 p.m.