Triple

T14690586
Position Surface form Disambiguated ID Type / Status
Subject Niigata Prefecture E345022 entity
Predicate containsCity P294 FINISHED
Object Tainai
Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
 E1120062 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: Tainai | Statement: [Niigata Prefecture, containsCity, Tainai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tainai
Context triple: [Niigata Prefecture, containsCity, Tainai]
  • A. Tain
    Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
  • B. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • C. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • D. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • E. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • 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: Tainai
Triple: [Niigata Prefecture, containsCity, Tainai]
Generated description
Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tainai
Target entity description: Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
  • A. Tain
    Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
  • B. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • C. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • D. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • E. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a6b0908190943f193f5a17ec8c completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe290e8f008190abb09c6e3f1ab473 completed May 8, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69fe29597bbc8190b9d514913298721d completed May 8, 2026, 6:20 p.m.
Created at: April 10, 2026, 1:28 a.m.