Triple

T2480100
Position Surface form Disambiguated ID Type / Status
Subject Tōkaidō Main Line E55793 entity
Predicate connectsCity P4245 FINISHED
Object Atami
Atami is a coastal hot spring resort city in Shizuoka Prefecture, Japan, known for its onsen, beaches, and proximity to Tokyo.
 E346897 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: Atami | Statement: [Tōkaidō Main Line, connectsCity, Atami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Atami
Context triple: [Tōkaidō Main Line, connectsCity, Atami]
  • A. Shirahama
    Shirahama is a popular coastal resort town in Japan known for its white sand beaches, hot springs, and scenic seaside landscapes.
  • B. Tomakomai
    Tomakomai is an industrial port city on the southern coast of Hokkaido, Japan, known for its paper manufacturing, shipping, and ferry connections.
  • C. Ayabe
    Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
  • D. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • E. Inamori
    Inamori is a Japanese surname most prominently associated with Kazuo Inamori, the influential entrepreneur, philanthropist, and founder of Kyocera and KDDI.
  • 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: Atami
Triple: [Tōkaidō Main Line, connectsCity, Atami]
Generated description
Atami is a coastal hot spring resort city in Shizuoka Prefecture, Japan, known for its onsen, beaches, and proximity to Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Atami
Target entity description: Atami is a coastal hot spring resort city in Shizuoka Prefecture, Japan, known for its onsen, beaches, and proximity to Tokyo.
  • A. Shirahama
    Shirahama is a popular coastal resort town in Japan known for its white sand beaches, hot springs, and scenic seaside landscapes.
  • B. Tomakomai
    Tomakomai is an industrial port city on the southern coast of Hokkaido, Japan, known for its paper manufacturing, shipping, and ferry connections.
  • C. Ayabe
    Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
  • D. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • E. Inamori
    Inamori is a Japanese surname most prominently associated with Kazuo Inamori, the influential entrepreneur, philanthropist, and founder of Kyocera and KDDI.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd160a9708190b28d2f5538ea129a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3a133848190a8585a4d9cde0396 completed March 12, 2026, 5:10 p.m.
NEDg Description generation batch_69b2fa6edd6c8190a398e622c1c8600c completed March 12, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69b31413fa2481908a52237df05e6fe6 completed March 12, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.