Triple

T13018025
Position Surface form Disambiguated ID Type / Status
Subject Pskov-Caves Monastery E322603 entity
Predicate locatedIn P40 FINISHED
Object Pechory
Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
 E1025402 NE FINISHED

How this triple was built (4 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: Pechory | Statement: [Pskov-Caves Monastery, locatedIn, Pechory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pechory
Context triple: [Pskov-Caves Monastery, locatedIn, Pechory]
  • A. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • B. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • C. Volochysk
    Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
  • D. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • E. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pechory
Triple: [Pskov-Caves Monastery, locatedIn, Pechory]
Generated description
Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pechory
Target entity description: Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
  • A. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • B. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • C. Volochysk
    Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
  • D. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • E. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • F. None of above. chosen

Provenance (5 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead058ac819091b13ddd25067869 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f151f25c8190a55714d980dd8c91 completed May 3, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_69f6f1b5c67c8190a2216ef32c5420c9 completed May 3, 2026, 6:56 a.m.
Created at: April 9, 2026, 8:51 p.m.