Triple

T14437534
Position Surface form Disambiguated ID Type / Status
Subject Taitō ward E358002 entity
Predicate contains P35 FINISHED
Object Matsugaya
Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
 E1338138 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: Matsugaya | Statement: [Taitō ward, contains, Matsugaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matsugaya
Context triple: [Taitō ward, contains, Matsugaya]
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • D. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • E. Takarano
    Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
  • 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: Matsugaya
Triple: [Taitō ward, contains, Matsugaya]
Generated description
Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matsugaya
Target entity description: Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • D. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • E. Takarano
    Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b19cde0819088bb66e41796b3dc completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052c02a8cc8190bba9db8bd0d3b7b5 completed May 14, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_6a052ca7b87c8190808537110bf69fb6 completed May 14, 2026, 2 a.m.
Created at: April 10, 2026, 1:18 a.m.