Triple

T3680390
Position Surface form Disambiguated ID Type / Status
Subject Russian Bishop’s House E78095 entity
Predicate visitorServices P22278 FINISHED
Object guided tours 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: guided tours | Statement: [Russian Bishop’s House, visitorServices, guided tours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visitorServices
Context triple: [Russian Bishop’s House, visitorServices, guided tours]
  • A. visitorCenter
    Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
  • B. visitorUse
    Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
  • C. visitorStatus
    Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
  • D. hasVisitorServices chosen
    Indicates that an entity provides services or facilities specifically intended for visitors or guests.
  • E. visitorCount
    Indicates the number of visitors associated with a particular entity, context, or time period.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49153ec81909ff3a3df54416d0e completed March 8, 2026, 6:48 p.m.
PD Predicate disambiguation batch_69adb84be1fc81909721c871babb4633 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.