Triple

T1067447
Position Surface form Disambiguated ID Type / Status
Subject Nara Prefecture E23243 entity
Predicate hasCity P316 FINISHED
Object Tenri
Tenri is a small city in Japan known as the headquarters of the Tenrikyo religion and for its rich archaeological and cultural heritage.
 E176121 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: Tenri | Statement: [Nara Prefecture, hasCity, Tenri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenri
Context triple: [Nara Prefecture, hasCity, Tenri]
  • A. Kumano
    Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Izumo
    Izumo is a coastal city in Japan’s Shimane Prefecture, best known for the ancient Shinto shrine Izumo Taisha, one of the country’s most important religious sites.
  • C. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Tenri
Triple: [Nara Prefecture, hasCity, Tenri]
Generated description
Tenri is a small city in Japan known as the headquarters of the Tenrikyo religion and for its rich archaeological and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenri
Target entity description: Tenri is a small city in Japan known as the headquarters of the Tenrikyo religion and for its rich archaeological and cultural heritage.
  • A. Kumano
    Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Izumo
    Izumo is a coastal city in Japan’s Shimane Prefecture, best known for the ancient Shinto shrine Izumo Taisha, one of the country’s most important religious sites.
  • C. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b911f06881908659cb85ba1e05e0 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad307e887c81909f81473a2f02c2ba completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad34696ec88190b6c5eb2070041cb6 completed March 8, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69ad348789348190a13720ccb760489f completed March 8, 2026, 8:34 a.m.
Created at: March 1, 2026, 7:42 p.m.