Triple

T16059403
Position Surface form Disambiguated ID Type / Status
Subject Kakuban E389566 entity
Predicate placeOfActivity P1527 FINISHED
Object Negoro
Negoro is a historic Japanese temple complex and monastic town in present-day Wakayama Prefecture, known as a major center of Shingon Buddhism and warrior monks during the medieval period.
 E1416081 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: Negoro | Statement: [Kakuban, placeOfActivity, Negoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Negoro
Context triple: [Kakuban, placeOfActivity, Negoro]
  • A. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • B. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • C. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • D. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • E. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • 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: Negoro
Triple: [Kakuban, placeOfActivity, Negoro]
Generated description
Negoro is a historic Japanese temple complex and monastic town in present-day Wakayama Prefecture, known as a major center of Shingon Buddhism and warrior monks during the medieval period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Negoro
Target entity description: Negoro is a historic Japanese temple complex and monastic town in present-day Wakayama Prefecture, known as a major center of Shingon Buddhism and warrior monks during the medieval period.
  • A. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • B. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • C. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • D. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • E. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837729e4819086e7429e0a76b0d7 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a083c5cfcb8819093bba494d48775ff completed May 16, 2026, 9:43 a.m.
NEDg Description generation batch_6a083da579ac8190abd33275c217b1e2 completed May 16, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a083e49d5988190b41e8ce5bcebeca5 completed May 16, 2026, 9:52 a.m.
Created at: April 10, 2026, 4:57 a.m.