Triple

T5066339
Position Surface form Disambiguated ID Type / Status
Subject Mustamäe E114152 entity
Predicate hasSubdistrict P747 FINISHED
Object Kadaka
Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
E490011 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: Kadaka | Statement: [Mustamäe, hasSubdistrict, Kadaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadaka
Context triple: [Mustamäe, hasSubdistrict, Kadaka]
  • A. Kampaku
    Kampaku was a powerful regent position in Japan’s imperial court, typically held by senior aristocrats who governed on behalf of an adult emperor.
  • B. Fumimaro
    Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
  • C. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Emperor Suzaku
    Emperor Suzaku was a 10th-century Japanese emperor of the Heian period, known for his reign during a time of strong Fujiwara regency influence over the imperial court.
  • 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: Kadaka
Triple: [Mustamäe, hasSubdistrict, Kadaka]
Generated description
Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kadaka
Target entity description: Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • A. Kampaku
    Kampaku was a powerful regent position in Japan’s imperial court, typically held by senior aristocrats who governed on behalf of an adult emperor.
  • B. Fumimaro
    Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
  • C. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Emperor Suzaku
    Emperor Suzaku was a 10th-century Japanese emperor of the Heian period, known for his reign during a time of strong Fujiwara regency influence over the imperial court.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49d917081909ead17eed3f8af90 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea525d9088190b0b655687dd27630 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea594850881909cd683670b63a079 completed March 21, 2026, 2:05 p.m.
Created at: March 20, 2026, 1:38 p.m.