Triple

T3308282
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku E69504 entity
Predicate hasPart P35 FINISHED
Object Golden Gai
Golden Gai is a famous nightlife district in Tokyo known for its dense network of narrow alleys packed with tiny, atmospheric bars and eateries.
 E345791 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: Golden Gai | Statement: [Shinjuku, hasPart, Golden Gai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Golden Gai
Context triple: [Shinjuku, hasPart, Golden Gai]
  • A. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • B. Garai
    Garai is a surname most notably associated with English actress and director Romola Garai.
  • C. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • D. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • E. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • 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: Golden Gai
Triple: [Shinjuku, hasPart, Golden Gai]
Generated description
Golden Gai is a famous nightlife district in Tokyo known for its dense network of narrow alleys packed with tiny, atmospheric bars and eateries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Golden Gai
Target entity description: Golden Gai is a famous nightlife district in Tokyo known for its dense network of narrow alleys packed with tiny, atmospheric bars and eateries.
  • A. Marichi
    Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
  • B. Garai
    Garai is a surname most notably associated with English actress and director Romola Garai.
  • C. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • D. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • E. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3edc0c081908a7f5c02fe18584b completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa2ba81c8190bc86a855c59b7c2f completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b303a4cb4481908b56ee60765b5fac completed March 12, 2026, 6:19 p.m.
Created at: March 8, 2026, 3:11 p.m.