Triple

T2711803
Position Surface form Disambiguated ID Type / Status
Subject Nanzen-ji E59877 entity
Predicate hasSubTemple P42500 FINISHED
Object Tenju-an
Tenju-an is a historic sub-temple within Kyoto’s Nanzen-ji complex, known for its traditional Zen gardens and serene atmosphere.
 E289522 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: Tenju-an | Statement: [Nanzen-ji, hasSubTemple, Tenju-an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenju-an
Context triple: [Nanzen-ji, hasSubTemple, Tenju-an]
  • A. Kizoku-in
    Kizoku-in was the upper house of Japan’s prewar Imperial Diet, composed mainly of nobility and imperial appointees.
  • B. Kita-Senju
    Kita-Senju is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station and shopping districts.
  • C. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • D. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • E. Tennoji
    Tennoji is a major district in Osaka, Japan, known for its large park, historic Shitenno-ji Temple, and the bustling Abeno Harukas skyscraper complex.
  • 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: Tenju-an
Triple: [Nanzen-ji, hasSubTemple, Tenju-an]
Generated description
Tenju-an is a historic sub-temple within Kyoto’s Nanzen-ji complex, known for its traditional Zen gardens and serene atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenju-an
Target entity description: Tenju-an is a historic sub-temple within Kyoto’s Nanzen-ji complex, known for its traditional Zen gardens and serene atmosphere.
  • A. Kizoku-in
    Kizoku-in was the upper house of Japan’s prewar Imperial Diet, composed mainly of nobility and imperial appointees.
  • B. Kita-Senju
    Kita-Senju is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station and shopping districts.
  • C. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • D. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • E. Tennoji
    Tennoji is a major district in Osaka, Japan, known for its large park, historic Shitenno-ji Temple, and the bustling Abeno Harukas skyscraper complex.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf83e37c8190b7a7815f8acf3a4b completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0afc4148190b96337f66b77fe28 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.