Triple

T1957449
Position Surface form Disambiguated ID Type / Status
Subject Whiteface Mountain E42301 entity
Predicate hasObservationStructure P34386 FINISHED
Object stone castle at summit 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: stone castle at summit | Statement: [Whiteface Mountain, hasObservationStructure, stone castle at summit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasObservationStructure
Context triple: [Whiteface Mountain, hasObservationStructure, stone castle at summit]
  • A. hasObservation
    Indicates that an entity records, contains, or is associated with a specific observation or measured instance.
  • B. hasObserverStates
    Indicates that an entity is associated with one or more observer-specific states or conditions under which it is perceived or evaluated.
  • C. isObservedOn
    Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
  • D. hasObserver
    Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
  • E. observedFor
    Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
  • F. None of above. chosen

Provenance (4 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb68a8e608190bc37a85913b3cd44 completed March 7, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69abaff5dbd48190a9d36ca60de151db completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb6893eb881908923f0168374596a completed March 7, 2026, 5:24 a.m.
Created at: March 4, 2026, 7:36 p.m.