Triple

T1900750
Position Surface form Disambiguated ID Type / Status
Subject Vindolanda E37682 entity
Predicate preservationConditions P20106 FINISHED
Object anaerobic waterlogged layers 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: anaerobic waterlogged layers | Statement: [Vindolanda, preservationConditions, anaerobic waterlogged layers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservationConditions
Context triple: [Vindolanda, preservationConditions, anaerobic waterlogged layers]
  • A. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • B. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • C. preservationFactor
    Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
  • D. preservationEnvironment chosen
    Indicates the specific environmental conditions or setting in which something is kept to ensure its long-term preservation.
  • E. preservedAt
    Indicates that something is kept, maintained, or conserved in a particular place or context.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.