Triple

T9942544
Position Surface form Disambiguated ID Type / Status
Subject Valley of Ten Thousand Smokes E194117 entity
Predicate historicObservation P43343 FINISHED
Object once filled with steaming fumaroles after 1912 eruption 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: once filled with steaming fumaroles after 1912 eruption | Statement: [Valley of Ten Thousand Smokes, historicObservation, once filled with steaming fumaroles after 1912 eruption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicObservation
Context triple: [Valley of Ten Thousand Smokes, historicObservation, once filled with steaming fumaroles after 1912 eruption]
  • A. historicFor
    Indicates that something holds historical significance or importance specifically in relation to another entity.
  • B. historicActivity
    Indicates that an entity engaged in an activity or event of historical significance in the past.
  • C. otherHistoricSee
    Indicates that an entity is associated with or linked to another historically significant site, event, or point of interest that can be seen or visited.
  • D. historicUsePersistsIn
    Indicates that a practice, feature, or condition originating in the past continues to exist or be applied in the present.
  • E. historical chosen
    Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6124a188190b41feadb7b2f8922 completed April 2, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:45 p.m.