Triple

T4182301
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Oblast E88221 entity
Predicate contains P35 FINISHED
Object Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
E458157 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: Ivangorod | Statement: [Saint Petersburg Oblast, contains, Ivangorod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivangorod
Context triple: [Saint Petersburg Oblast, contains, Ivangorod]
  • A. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • B. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • C. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • D. Vsevolozhsk
    Vsevolozhsk is a town in northwestern Russia that serves as an important suburban and administrative center near Saint Petersburg.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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: Ivangorod
Triple: [Saint Petersburg Oblast, contains, Ivangorod]
Generated description
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ivangorod
Target entity description: Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • A. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • B. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • C. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • D. Vsevolozhsk
    Vsevolozhsk is a town in northwestern Russia that serves as an important suburban and administrative center near Saint Petersburg.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0305e2e88190a51f176f8534f1f9 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa0121b48190899cb4be8b87a93b completed March 21, 2026, 1:53 a.m.
NEDg Description generation batch_69bdfb36a18481908bb566db970b101a completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbc9bea48190a8a0bf13c6fa7191 completed March 21, 2026, 2 a.m.
Created at: March 9, 2026, 3:45 p.m.