Triple

T12920682
Position Surface form Disambiguated ID Type / Status
Subject Ahal Region E309109 entity
Predicate containsCity P294 FINISHED
Object Kaka
Kaka is a small town in Turkmenistan known as an administrative and transport hub within the Ahal Region.
 E1011053 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: Kaka | Statement: [Ahal Region, containsCity, Kaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaka
Context triple: [Ahal Region, containsCity, Kaka]
  • A. Zeca
    Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
  • B. Kike
    Kike is a common Spanish nickname for the given name Enrique.
  • C. Capelo
    Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
  • D. Tostão
    Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
  • E. Figo
    Figo is a retired Portuguese footballer widely regarded as one of the greatest wingers of his generation, known for starring at clubs like Barcelona, Real Madrid, and Inter Milan.
  • 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: Kaka
Triple: [Ahal Region, containsCity, Kaka]
Generated description
Kaka is a small town in Turkmenistan known as an administrative and transport hub within the Ahal Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaka
Target entity description: Kaka is a small town in Turkmenistan known as an administrative and transport hub within the Ahal Region.
  • A. Zeca
    Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
  • B. Kike
    Kike is a common Spanish nickname for the given name Enrique.
  • C. Capelo
    Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
  • D. Tostão
    Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
  • E. Figo
    Figo is a retired Portuguese footballer widely regarded as one of the greatest wingers of his generation, known for starring at clubs like Barcelona, Real Madrid, and Inter Milan.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5ffcc48190bf93ce32e4aecfcd completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0653ef88190ad0e3a48675ecdcc completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:41 p.m.