Triple

T19376024
Position Surface form Disambiguated ID Type / Status
Subject Fort Halifax (Winslow, Maine) E484668 entity
Predicate hasTouristActivities P55845 FINISHED
Object historical interpretation 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: historical interpretation | Statement: [Fort Halifax (Winslow, Maine), hasTouristActivities, historical interpretation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTouristActivities
Context triple: [Fort Halifax (Winslow, Maine), hasTouristActivities, historical interpretation]
  • A. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • B. hasTourismResource chosen
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • C. hasTouristVisits
    Indicates that one entity experiences or records visits from tourists to another entity.
  • D. hasTouristInfrastructure
    Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
  • E. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5c05c08190b91cb32fdb79813b completed April 20, 2026, 12:21 p.m.
PD Predicate disambiguation batch_69e4fd54f8e48190956e73dd8969164a completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:35 p.m.