Triple

T4298999
Position Surface form Disambiguated ID Type / Status
Subject Little Glass Mountain E99785 entity
Predicate hasPreservationState P9592 FINISHED
Object well-preserved 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: well-preserved | Statement: [Little Glass Mountain, hasPreservationState, well-preserved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPreservationState
Context triple: [Little Glass Mountain, hasPreservationState, well-preserved]
  • A. hasPreservationActivity
    Indicates that an entity is involved in, or associated with, a specific preservation-related action or process.
  • B. hasPreservationConditions
    Indicates the specific environmental or handling conditions required to properly preserve or maintain an entity.
  • C. stateOfPreservation chosen
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • D. hasPreservedCountyFunction
    Indicates that an entity continues to perform or retain the official functions and responsibilities of a county authority.
  • E. hasCoreState
    Indicates that an entity possesses or is associated with a fundamental or primary state that defines its core condition or behavior.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.