Triple

T18714425
Position Surface form Disambiguated ID Type / Status
Subject Терек E457597 entity
Predicate passesNear P416 FINISHED
Object Моздок
Моздок — город на северном Кавказе в Республике Северная Осетия–Алания России, известный как важный транспортный и военный узел региона.
 E1338699 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: Моздок | Statement: [Терек, passesNear, Моздок]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Моздок
Context triple: [Терек, passesNear, Моздок]
  • A. Kerch
    Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
  • B. Feodosia
    Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
  • C. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • D. Liman
    Liman is a surname most notably associated with American film director and producer Doug Liman.
  • E. Anaklia
    Anaklia is a small Georgian Black Sea resort town known for its beaches, modern seaside promenade, and proximity to the Kolkheti wetlands.
  • 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: Моздок
Triple: [Терек, passesNear, Моздок]
Generated description
Моздок — город на северном Кавказе в Республике Северная Осетия–Алания России, известный как важный транспортный и военный узел региона.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Моздок
Target entity description: Моздок — город на северном Кавказе в Республике Северная Осетия–Алания России, известный как важный транспортный и военный узел региона.
  • A. Kerch
    Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
  • B. Feodosia
    Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
  • C. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • D. Liman
    Liman is a surname most notably associated with American film director and producer Doug Liman.
  • E. Anaklia
    Anaklia is a small Georgian Black Sea resort town known for its beaches, modern seaside promenade, and proximity to the Kolkheti wetlands.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b413d348190b34e236d44fb541a completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:50 a.m.