Triple

T8089695
Position Surface form Disambiguated ID Type / Status
Subject Ryōgoku E188824 entity
Predicate hasReligiousSite P916 FINISHED
Object Ekō-in Temple E744461 NE FINISHED

How this triple was built (2 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: Ekō-in Temple | Statement: [Ryōgoku, hasReligiousSite, Ekō-in Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ekō-in Temple
Context triple: [Ryōgoku, hasReligiousSite, Ekō-in Temple]
  • A. Ekō-in Temple chosen
    Ekō-in Temple is a historic Buddhist temple in Tokyo’s Ryōgoku district, known for its memorials to the dead and its long association with sumo wrestling tournaments.
  • B. Ambaji Temple
    Ambaji Temple is a prominent Hindu pilgrimage shrine dedicated to the goddess Amba, revered as a major Shakti Peetha in western India.
  • C. Osu Kannon Temple
    Osu Kannon Temple is a prominent Buddhist temple and popular cultural and shopping-area centerpiece located in the Ōsu district of Nagoya, Japan.
  • D. Sainen-ji Temple
    Sainen-ji Temple is a historic Buddhist temple located in Tokyo’s Yotsuya district, known for its cultural and religious significance in the area.
  • E. Anaoji Temple
    Anaoji Temple is a historic Buddhist temple in Kameoka, Japan, known for its tranquil atmosphere and traditional architecture amid scenic natural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb05716c8190aec1ea8f0d01443a completed April 2, 2026, 6:52 p.m.
Created at: March 30, 2026, 5:29 p.m.