Triple

T21323172
Position Surface form Disambiguated ID Type / Status
Subject Meitetsu Mikawa Line E525675 entity
Predicate connectsCity P4245 FINISHED
Object Anjo
Anjo is a city in Aichi Prefecture, Japan, known as an industrial hub with strong automotive and manufacturing industries.
 E1477846 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: Anjo | Statement: [Meitetsu Mikawa Line, connectsCity, Anjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anjo
Context triple: [Meitetsu Mikawa Line, connectsCity, Anjo]
  • A. Shenako
    Shenako is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone architecture and preserved highland culture.
  • B. Sachi
    Sachi is a given name, often used as a shortened or variant form of the Japanese name Sachiko.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Matui
    Matui is an alternative spelling of the Japanese surname Matsui, which is borne by various notable individuals in fields such as sports, politics, and entertainment.
  • E. Anao
    Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
  • 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: Anjo
Triple: [Meitetsu Mikawa Line, connectsCity, Anjo]
Generated description
Anjo is a city in Aichi Prefecture, Japan, known as an industrial hub with strong automotive and manufacturing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anjo
Target entity description: Anjo is a city in Aichi Prefecture, Japan, known as an industrial hub with strong automotive and manufacturing industries.
  • A. Shenako
    Shenako is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone architecture and preserved highland culture.
  • B. Sachi
    Sachi is a given name, often used as a shortened or variant form of the Japanese name Sachiko.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Matui
    Matui is an alternative spelling of the Japanese surname Matsui, which is borne by various notable individuals in fields such as sports, politics, and entertainment.
  • E. Anao
    Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed572548190bd71ef690fc7befe completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a099ee66f408190962424b053ad54cc completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f9aebe4819088658ad23f8f7876 completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09a085b30081909b64de37f2faba35 completed May 17, 2026, 11:03 a.m.
Created at: April 16, 2026, 4:40 p.m.