Triple

T7103899
Position Surface form Disambiguated ID Type / Status
Subject St John’s Cross (replica on site) E165526 entity
Predicate purposeOfReplica P37380 FINISHED
Object preservation of original cross 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: preservation of original cross | Statement: [St John’s Cross (replica on site), purposeOfReplica, preservation of original cross]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeOfReplica
Context triple: [St John’s Cross (replica on site), purposeOfReplica, preservation of original cross]
  • A. replicaOf
    Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
  • B. hasReconstructionPurpose
    Indicates that something exists or is performed with the specific aim or function of reconstruction (e.g., rebuilding, restoring, or re-creating something).
  • C. preservationPurpose chosen
    Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
  • D. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • E. laterRepurposedFor
    Indicates that something was originally used for one purpose and subsequently assigned a different, new purpose.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58b3f708190bebca7d4c4db40f2 completed March 27, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:42 p.m.