Triple

T10109160
Position Surface form Disambiguated ID Type / Status
Subject Kirov-class battlecruiser E218196 entity
Predicate shipInClass P3141 FINISHED
Object Kirov
Kirov is a Soviet nuclear-powered guided-missile battlecruiser that served as the lead ship of one of the largest and most heavily armed surface combatant classes built since World War II.
E889029 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: Kirov | Statement: [Kirov-class battlecruiser, shipInClass, Kirov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirov
Context triple: [Kirov-class battlecruiser, shipInClass, Kirov]
  • A. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • B. Kirov
    Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
  • C. Kirovabad
    Kirovabad was the Soviet-era name of the Azerbaijani city now known as Ganja, an important industrial and cultural center in western Azerbaijan.
  • D. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • E. Sverdlovsk
    Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
  • 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: Kirov
Triple: [Kirov-class battlecruiser, shipInClass, Kirov]
Generated description
Kirov is a Soviet nuclear-powered guided-missile battlecruiser that served as the lead ship of one of the largest and most heavily armed surface combatant classes built since World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirov
Target entity description: Kirov is a Soviet nuclear-powered guided-missile battlecruiser that served as the lead ship of one of the largest and most heavily armed surface combatant classes built since World War II.
  • A. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • B. Kirov
    Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
  • C. Kirovabad
    Kirovabad was the Soviet-era name of the Azerbaijani city now known as Ganja, an important industrial and cultural center in western Azerbaijan.
  • D. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • E. Sverdlovsk
    Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cbd8a48190b2af6177d1249f58 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69deafff4b8c819099d47b48773c3629 completed April 14, 2026, 9:22 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: March 30, 2026, 9:03 p.m.