Triple

T1592257
Position Surface form Disambiguated ID Type / Status
Subject Sumida E34202 entity
Predicate contains P35 FINISHED
Object Kinshichō
Kinshichō is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, nightlife, and convenient rail connections.
 E211200 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: Kinshichō | Statement: [Sumida, contains, Kinshichō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinshichō
Context triple: [Sumida, contains, Kinshichō]
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • C. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • D. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • E. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • 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: Kinshichō
Triple: [Sumida, contains, Kinshichō]
Generated description
Kinshichō is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, nightlife, and convenient rail connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinshichō
Target entity description: Kinshichō is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, nightlife, and convenient rail connections.
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • C. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • D. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • E. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb2c480008190bb472cfdab74c387 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac0be308190a12ba8e79589dead completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb330fe0819096ac927838b6ee2f completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adebb1d7748190b5cd33d163368eae completed March 8, 2026, 9:35 p.m.
Created at: March 4, 2026, 7:27 p.m.