Triple

T11199403
Position Surface form Disambiguated ID Type / Status
Subject Crotone E264999 entity
Predicate historicalName P65 FINISHED
Object Kroton
Kroton was an important ancient Greek city in southern Italy, renowned for its philosophers, athletes, and role in Magna Graecia.
E911634 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: Kroton | Statement: [Crotone, historicalName, Kroton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kroton
Context triple: [Crotone, historicalName, Kroton]
  • A. Rahki
    Rahki is a Grammy-winning American record producer and songwriter best known for his work with Kendrick Lamar and other prominent hip-hop artists.
  • B. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • C. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • D. Zetan
    Zetan is the given name of Mao Zetan, a Chinese revolutionary and younger brother of Mao Zedong.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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: Kroton
Triple: [Crotone, historicalName, Kroton]
Generated description
Kroton was an important ancient Greek city in southern Italy, renowned for its philosophers, athletes, and role in Magna Graecia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kroton
Target entity description: Kroton was an important ancient Greek city in southern Italy, renowned for its philosophers, athletes, and role in Magna Graecia.
  • A. Rahki
    Rahki is a Grammy-winning American record producer and songwriter best known for his work with Kendrick Lamar and other prominent hip-hop artists.
  • B. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • C. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • D. Zetan
    Zetan is the given name of Mao Zetan, a Chinese revolutionary and younger brother of Mao Zedong.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4970df7cc81909c3b07ead58513e8 completed April 19, 2026, 8:49 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:29 p.m.