Triple

T7106136
Position Surface form Disambiguated ID Type / Status
Subject IK-2 penal colony, Pokrov E165587 entity
Predicate locatedIn P40 FINISHED
Object Pokrov
Pokrov is a small town in Vladimir Oblast, Russia, known for hosting the high-security IK-2 penal colony.
E642018 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: Pokrov | Statement: [IK-2 penal colony, Pokrov, locatedIn, Pokrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pokrov
Context triple: [IK-2 penal colony, Pokrov, locatedIn, Pokrov]
  • A. Bogoroditsk
    Bogoroditsk is a small historic town in western Russia known for its 18th-century palace-and-park ensemble and its role as a local industrial and cultural center.
  • B. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • C. Voskresensk
    Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
  • D. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
  • E. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • 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: Pokrov
Triple: [IK-2 penal colony, Pokrov, locatedIn, Pokrov]
Generated description
Pokrov is a small town in Vladimir Oblast, Russia, known for hosting the high-security IK-2 penal colony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pokrov
Target entity description: Pokrov is a small town in Vladimir Oblast, Russia, known for hosting the high-security IK-2 penal colony.
  • A. Bogoroditsk
    Bogoroditsk is a small historic town in western Russia known for its 18th-century palace-and-park ensemble and its role as a local industrial and cultural center.
  • B. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • C. Voskresensk
    Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
  • D. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
  • E. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b892008190827fa1e5eab2e558 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cb0ee3481908f2f7efb5e9d1714 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d3feacc819097887064a7439340 completed March 28, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69c79df3f5648190981176b6c9791181 completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:42 p.m.