Triple

T9133
Position Surface form Disambiguated ID Type / Status
Subject Harry S. Truman Presidential Library and Museum E182 entity
Predicate hasVisitorPurpose P79 FINISHED
Object historical tourism 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 tourism | Statement: [Harry S. Truman Presidential Library and Museum, hasVisitorPurpose, historical tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVisitorPurpose
Context triple: [Harry S. Truman Presidential Library and Museum, hasVisitorPurpose, historical tourism]
  • A. visitorCount
    Indicates the number of visitors associated with a particular entity, context, or time period.
  • B. isTouristDestination
    Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
  • C. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • D. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a240b249788190af8dbf7e80e9c91b completed Feb. 28, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69a23fe52ec48190a4d24101c91434ed completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.