Triple

T17807978
Position Surface form Disambiguated ID Type / Status
Subject Taira no Tokuko E444616 entity
Predicate deathPlace P21 FINISHED
Object Jakkō-in
Jakkō-in is a historic Buddhist nunnery in Ōhara, Kyoto, known for its secluded mountain setting and association with figures of the late Heian period.
 E1521064 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: Jakkō-in | Statement: [Taira no Tokuko, deathPlace, Jakkō-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jakkō-in
Context triple: [Taira no Tokuko, deathPlace, Jakkō-in]
  • A. Juraku-ji
    Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
  • B. Jōrakuji
    Jōrakuji is a Buddhist temple in Japan best known as Temple 14 on the Shikoku Pilgrimage route.
  • C. Jōraku-ji
    Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
  • D. Hokki-ji
    Hokki-ji is an ancient Buddhist temple in Ikaruga, Nara Prefecture, Japan, renowned for its historic three-story pagoda and inclusion in the UNESCO World Heritage-listed Horyu-ji temple area.
  • E. Shōryū-ji
    Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
  • 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: Jakkō-in
Triple: [Taira no Tokuko, deathPlace, Jakkō-in]
Generated description
Jakkō-in is a historic Buddhist nunnery in Ōhara, Kyoto, known for its secluded mountain setting and association with figures of the late Heian period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jakkō-in
Target entity description: Jakkō-in is a historic Buddhist nunnery in Ōhara, Kyoto, known for its secluded mountain setting and association with figures of the late Heian period.
  • A. Juraku-ji
    Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
  • B. Jōrakuji
    Jōrakuji is a Buddhist temple in Japan best known as Temple 14 on the Shikoku Pilgrimage route.
  • C. Jōraku-ji
    Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
  • D. Hokki-ji
    Hokki-ji is an ancient Buddhist temple in Ikaruga, Nara Prefecture, Japan, renowned for its historic three-story pagoda and inclusion in the UNESCO World Heritage-listed Horyu-ji temple area.
  • E. Shōryū-ji
    Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488779a3081908405eac4930a095f completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96dfbd5481908eaaa45696e5b09e completed May 18, 2026, 4:34 a.m.
NEDg Description generation batch_6a0a980276bc81908e9f6c6596880a8d completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a986105bc819082556e8dec156ab6 completed May 18, 2026, 4:41 a.m.
Created at: April 10, 2026, 10:14 a.m.