Triple

T16519686
Position Surface form Disambiguated ID Type / Status
Subject Kiso Valley E401284 entity
Predicate historicallyTraversedBy P12633 FINISHED
Object Kisoji
Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
E1449897 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: Kisoji | Statement: [Kiso Valley, historicallyTraversedBy, Kisoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisoji
Context triple: [Kiso Valley, historicallyTraversedBy, Kisoji]
  • A. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • B. Kōonji
    Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • E. Yokoze
    Yokoze is a small town in Saitama Prefecture, Japan, known for its rural scenery and proximity to the Chichibu mountain area.
  • 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: Kisoji
Triple: [Kiso Valley, historicallyTraversedBy, Kisoji]
Generated description
Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kisoji
Target entity description: Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
  • A. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • B. Kōonji
    Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • E. Yokoze
    Yokoze is a small town in Saitama Prefecture, Japan, known for its rural scenery and proximity to the Chichibu mountain area.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7ec45c8190b5e2c4a5f707e332 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef6cf19c8190a00f26597471c493 completed May 16, 2026, 10:27 p.m.
NEDg Description generation batch_6a08f2af4560819093445a7d147d4b89 completed May 16, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_6a08f323f07c81908f6fd372150df960 completed May 16, 2026, 10:43 p.m.
Created at: April 10, 2026, 5:14 a.m.