Triple

T36354300
Position Surface form Disambiguated ID Type / Status
Subject Neskowin Ghost Forest E895296 entity
Predicate preservationProcess P21580 FINISHED
Object waterlogging 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: waterlogging | Statement: [Neskowin Ghost Forest, preservationProcess, waterlogging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservationProcess
Context triple: [Neskowin Ghost Forest, preservationProcess, waterlogging]
  • A. preservationMethod chosen
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • B. preservationFunction
    Indicates that one entity serves to maintain, protect, or keep another entity in its original or intended state over time.
  • C. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • D. preservationFocus
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • E. preservationUse
    Indicates that something is used, designed, or intended specifically for the purpose of preserving or maintaining another entity in its existing state.
  • 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_69f76e4f437c8190a1af3ea2564f41f5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: May 3, 2026, 4:09 p.m.