Triple

T13449174
Position Surface form Disambiguated ID Type / Status
Subject Izborsk fortress E320563 entity
Predicate locatedIn P40 FINISHED
Object Izborsk
Izborsk is an ancient Russian rural locality in Pskov Oblast, known as one of the oldest towns in Russia and for its well-preserved medieval fortress.
 E1065988 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: Izborsk | Statement: [Izborsk fortress, locatedIn, Izborsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Izborsk
Context triple: [Izborsk fortress, locatedIn, Izborsk]
  • A. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • D. Dušica
    Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
  • E. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • 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: Izborsk
Triple: [Izborsk fortress, locatedIn, Izborsk]
Generated description
Izborsk is an ancient Russian rural locality in Pskov Oblast, known as one of the oldest towns in Russia and for its well-preserved medieval fortress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Izborsk
Target entity description: Izborsk is an ancient Russian rural locality in Pskov Oblast, known as one of the oldest towns in Russia and for its well-preserved medieval fortress.
  • A. Loznitsa
    Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • D. Dušica
    Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
  • E. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d591648190beb4430c6b199eb8 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 9:41 p.m.