Triple

T15792821
Position Surface form Disambiguated ID Type / Status
Subject Ganja-Gazakh economic region E382899 entity
Predicate hasTown P847 FINISHED
Object Shamkir
Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
E1186456 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: Shamkir | Statement: [Ganja-Gazakh economic region, hasTown, Shamkir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shamkir
Context triple: [Ganja-Gazakh economic region, hasTown, Shamkir]
  • A. Khachmaz
    Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
  • B. Kizlyar
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • C. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • D. Karshi
    Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
  • E. Nukus
    Nukus is the capital of the autonomous Republic of Karakalpakstan in western Uzbekistan, known for its remote desert location and the renowned Nukus Museum of Art.
  • 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: Shamkir
Triple: [Ganja-Gazakh economic region, hasTown, Shamkir]
Generated description
Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shamkir
Target entity description: Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
  • A. Khachmaz
    Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
  • B. Kizlyar
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • C. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • D. Karshi
    Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
  • E. Nukus
    Nukus is the capital of the autonomous Republic of Karakalpakstan in western Uzbekistan, known for its remote desert location and the renowned Nukus Museum of Art.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4da381c819086195e3d20591abf completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe66d78c81908308fc16c8d4e19c completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbefd91208190809da95995554152 completed May 9, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffbf745f788190abae3ba723c3a564 completed May 9, 2026, 11:12 p.m.
Created at: April 10, 2026, 4:48 a.m.