Triple

T15541718
Position Surface form Disambiguated ID Type / Status
Subject Temple 46: Jōruriji E370494 entity
Predicate romanization P2508 FINISHED
Object Jōruriji
Jōruriji is a historic Buddhist temple in Japan, known as Temple 46 on the Shikoku Pilgrimage.
E1164823 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: Jōruriji | Statement: [Temple 46: Jōruriji, romanization, Jōruriji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jōruriji
Context triple: [Temple 46: Jōruriji, romanization, Jōruriji]
  • A. Jūrakuji
    Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
  • B. Yasakaji
    Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
  • C. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • D. Nouchi
    Nouchi is an Ivorian urban slang and lingua franca that blends French with local African languages and is widely spoken in Abidjan and other parts of Côte d’Ivoire.
  • E. Higashi-Jujo
    Higashi-Jujo is a primarily residential neighborhood in Tokyo’s Kita ward, known for its local shopping streets and convenient access to central Tokyo via nearby train stations.
  • 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: Jōruriji
Triple: [Temple 46: Jōruriji, romanization, Jōruriji]
Generated description
Jōruriji is a historic Buddhist temple in Japan, known as Temple 46 on the Shikoku Pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jōruriji
Target entity description: Jōruriji is a historic Buddhist temple in Japan, known as Temple 46 on the Shikoku Pilgrimage.
  • A. Jūrakuji
    Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
  • B. Yasakaji
    Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
  • C. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • D. Nouchi
    Nouchi is an Ivorian urban slang and lingua franca that blends French with local African languages and is widely spoken in Abidjan and other parts of Côte d’Ivoire.
  • E. Higashi-Jujo
    Higashi-Jujo is a primarily residential neighborhood in Tokyo’s Kita ward, known for its local shopping streets and convenient access to central Tokyo via nearby train stations.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3be1b481909e35094e8088f836 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4fcf5208819085aed990c3c83921 completed May 9, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff5031e2e88190936b65ee5bd491e1 completed May 9, 2026, 3:18 p.m.
Created at: April 10, 2026, 4:07 a.m.