Triple

T14437601
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba Express E358003 entity
Predicate servesCity P82 FINISHED
Object Moriya
Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo area.
E1343553 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: Moriya | Statement: [Tsukuba Express, servesCity, Moriya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moriya
Context triple: [Tsukuba Express, servesCity, Moriya]
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • 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: Moriya
Triple: [Tsukuba Express, servesCity, Moriya]
Generated description
Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moriya
Target entity description: Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo area.
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • 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_6a0546fdc4e881908b5c2a00085aab32 completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a054b1a8698819090e8594f00588703 completed May 14, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_6a054b881bd48190ab3ae42719357d7c completed May 14, 2026, 4:11 a.m.
Created at: April 10, 2026, 1:18 a.m.