Triple

T32136351
Position Surface form Disambiguated ID Type / Status
Subject Harima Province E820771 entity
Predicate hadNunnery P173617 FINISHED
Object Harima Kokubun-niji
Harima Kokubun-niji is an ancient Buddhist nunnery temple in the former Harima Province of Japan, established as part of the nationwide network of provincial convents ordered by Emperor Shōmu in the Nara period.
 E1993589 NE FINISHED

How this triple was built (3 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: Harima Kokubun-niji | Statement: [Harima Province, hadNunnery, Harima Kokubun-niji]
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: Harima Kokubun-niji
Triple: [Harima Province, hadNunnery, Harima Kokubun-niji]
Generated description
Harima Kokubun-niji is an ancient Buddhist nunnery temple in the former Harima Province of Japan, established as part of the nationwide network of provincial convents ordered by Emperor Shōmu in the Nara period.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadNunnery
Context triple: [Harima Province, hadNunnery, Harima Kokubun-niji]
  • A. hadAbbey
    Indicates that an entity possessed, was associated with, or was the site of a particular abbey.
  • B. hasAbbess
    Indicates that a religious community, convent, or abbey is led or overseen by a specific abbess.
  • C. hadAbbot
    Indicates that an institution, typically a monastery or abbey, was under the leadership or authority of a specific abbot.
  • D. enteredConvent
    Indicates that a person has joined and been admitted into a religious convent as a member.
  • E. hadSanctuaryOf
    Indicates that an entity possessed or hosted a sanctuary dedicated to another entity.
  • F. None of above. chosen

Provenance (7 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9a9bc4c8190a88918fc4f91136a completed May 3, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f013b05948190826f77a764197bfa completed June 14, 2026, 7:30 p.m.
NEDg Description generation batch_6a2f01fe7008819091d5a73abe7ea366 completed June 14, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a2f035270508190bff756fef3523976 completed June 14, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
PDg Predicate description generation batch_69f6b49339048190b617a6749f648825 completed May 3, 2026, 2:36 a.m.
Created at: May 1, 2026, 12:30 a.m.