Triple

T16728764
Position Surface form Disambiguated ID Type / Status
Subject 天台宗 E406530 entity
Predicate 本山所在地 P101880 FINISHED
Object 滋賀県大津市
滋賀県大津市は、比叡山延暦寺を擁し天台宗の中心地として知られる琵琶湖西岸の都市である。
 E1231141 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: 滋賀県大津市 | Statement: [天台宗, 本山所在地, 滋賀県大津市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 滋賀県大津市
Context triple: [天台宗, 本山所在地, 滋賀県大津市]
  • A. Kishiwada
    Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
  • B. Minoh, Osaka
    Minoh, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its scenic valley, waterfall, and autumn foliage along the Minoh River.
  • C. Takatsuki, Osaka
    Takatsuki, Osaka is a city in northern Osaka Prefecture, Japan, known as a regional commercial and residential hub between Osaka and Kyoto.
  • D. Sakai, Osaka
    Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
  • E. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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: 滋賀県大津市
Triple: [天台宗, 本山所在地, 滋賀県大津市]
Generated description
滋賀県大津市は、比叡山延暦寺を擁し天台宗の中心地として知られる琵琶湖西岸の都市である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 滋賀県大津市
Target entity description: 滋賀県大津市は、比叡山延暦寺を擁し天台宗の中心地として知られる琵琶湖西岸の都市である。
  • A. Kishiwada
    Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
  • B. Minoh, Osaka
    Minoh, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its scenic valley, waterfall, and autumn foliage along the Minoh River.
  • C. Takatsuki, Osaka
    Takatsuki, Osaka is a city in northern Osaka Prefecture, Japan, known as a regional commercial and residential hub between Osaka and Kyoto.
  • D. Sakai, Osaka
    Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
  • E. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.