Triple

T856948
Position Surface form Disambiguated ID Type / Status
Subject Amur Oblast E18512 entity
Predicate hasTown P847 FINISHED
Object Zavitinsk
Zavitinsk is a small town in Russia’s Far Eastern Amur Oblast, known historically for its nearby military air base and its role as a local administrative and transport center.
E113996 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: Zavitinsk | Statement: [Amur Oblast, hasTown, Zavitinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zavitinsk
Context triple: [Amur Oblast, hasTown, Zavitinsk]
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • C. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • 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: Zavitinsk
Triple: [Amur Oblast, hasTown, Zavitinsk]
Generated description
Zavitinsk is a small town in Russia’s Far Eastern Amur Oblast, known historically for its nearby military air base and its role as a local administrative and transport center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zavitinsk
Target entity description: Zavitinsk is a small town in Russia’s Far Eastern Amur Oblast, known historically for its nearby military air base and its role as a local administrative and transport center.
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • C. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11931dc88190ac1cd0d0c68a151d completed March 7, 2026, 11:52 a.m.
NEDg Description generation batch_69ac15543924819081d80269e247dff9 completed March 7, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69ac15a711fc81909291403672eb9dd3 completed March 7, 2026, 12:10 p.m.
Created at: March 1, 2026, 7:39 p.m.