Triple

T16412696
Position Surface form Disambiguated ID Type / Status
Subject Kizlyar–Pervomayskoye hostage crisis E398604 entity
Predicate location P40 FINISHED
Object Pervomayskoye
Pervomayskoye is a rural settlement in the Republic of Dagestan, Russia, best known as the site of a major 1996 hostage crisis during the First Chechen War.
 E1211276 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: Pervomayskoye | Statement: [Kizlyar–Pervomayskoye hostage crisis, location, Pervomayskoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pervomayskoye
Context triple: [Kizlyar–Pervomayskoye hostage crisis, location, Pervomayskoye]
  • A. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • B. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • C. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • D. Rybatskoye
    Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • E. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • 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: Pervomayskoye
Triple: [Kizlyar–Pervomayskoye hostage crisis, location, Pervomayskoye]
Generated description
Pervomayskoye is a rural settlement in the Republic of Dagestan, Russia, best known as the site of a major 1996 hostage crisis during the First Chechen War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pervomayskoye
Target entity description: Pervomayskoye is a rural settlement in the Republic of Dagestan, Russia, best known as the site of a major 1996 hostage crisis during the First Chechen War.
  • A. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • B. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • C. Zayukovo
    Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
  • D. Rybatskoye
    Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • E. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32875bad08190bc3e2218df8c1b07 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c68b7408190a9612a57f146dc30 completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003db7b0308190bc4b8065cf2c01ec completed May 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a003e86a9f48190ae39ec170c776604 completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.