Triple

T11407485
Position Surface form Disambiguated ID Type / Status
Subject Taitō, Tokyo, Japan E270275 entity
Predicate hasDistrict P459 FINISHED
Object Iriya
Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
 E1012674 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: Iriya | Statement: [Taitō, Tokyo, Japan, hasDistrict, Iriya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iriya
Context triple: [Taitō, Tokyo, Japan, hasDistrict, Iriya]
  • A. Izu
    Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
  • B. Irai
    Irai is a small commune in northern France, located within the Eure department in the Normandy region.
  • C. Iwara
    Iwara is a town in southwestern Nigeria associated with the Ijesha people and their cultural and historical heritage.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • 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: Iriya
Triple: [Taitō, Tokyo, Japan, hasDistrict, Iriya]
Generated description
Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iriya
Target entity description: Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
  • A. Izu
    Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
  • B. Irai
    Irai is a small commune in northern France, located within the Eure department in the Normandy region.
  • C. Iwara
    Iwara is a town in southwestern Nigeria associated with the Ijesha people and their cultural and historical heritage.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b5ad3c81909c38c83804b7d337 completed May 3, 2026, 2:53 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:34 p.m.