Triple

T1533435
Position Surface form Disambiguated ID Type / Status
Subject Wako, Saitama Prefecture, Japan E32496 entity
Predicate borders P224 FINISHED
Object Shiki, Saitama
Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
E174856 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: Shiki, Saitama | Statement: [Wako, Saitama Prefecture, Japan, borders, Shiki, Saitama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiki, Saitama
Context triple: [Wako, Saitama Prefecture, Japan, borders, Shiki, Saitama]
  • 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. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • C. Den Kenjirō
    Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
  • D. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • E. Sasazuka
    Sasazuka is a residential and commercial neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of traditional shopping streets and modern urban living.
  • 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: Shiki, Saitama
Triple: [Wako, Saitama Prefecture, Japan, borders, Shiki, Saitama]
Generated description
Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shiki, Saitama
Target entity description: Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
  • 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. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • C. Den Kenjirō
    Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
  • D. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • E. Sasazuka
    Sasazuka is a residential and commercial neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of traditional shopping streets and modern urban living.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a1957e481908b07d3f4df75fbfe completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2b2929348190ac35ff8d405894d6 completed March 8, 2026, 7:54 a.m.
Created at: March 4, 2026, 7:26 p.m.