Triple

T29692523
Position Surface form Disambiguated ID Type / Status
Subject Skull 5 E751247 entity
Predicate preservationDetail P9592 FINISHED
Object minimal postmortem distortion 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: minimal postmortem distortion | Statement: [Skull 5, preservationDetail, minimal postmortem distortion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservationDetail
Context triple: [Skull 5, preservationDetail, minimal postmortem distortion]
  • A. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • B. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • C. preservationFocus
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • D. stateOfPreservation chosen
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • E. preservationPurpose
    Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
  • 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: April 28, 2026, 7:18 p.m.