Triple

T11517786
Position Surface form Disambiguated ID Type / Status
Subject Owase E273075 entity
Predicate adjacentTo P224 FINISHED
Object Kihoku
Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
 E930755 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: Kihoku | Statement: [Owase, adjacentTo, Kihoku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kihoku
Context triple: [Owase, adjacentTo, Kihoku]
  • A. Nikaupara
    Nikaupara is a small settlement located on the island of Aitutaki in the Cook Islands.
  • B. Hatohobei
    Hatohobei is a small, remote coral island state of Palau in the western Pacific Ocean, also known as Tobi.
  • C. Kahama
    Kahama is a town and district-level administrative center in northwestern Tanzania known for its mining activities and role as a commercial hub in the Shinyanga area.
  • D. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • E. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • 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: Kihoku
Triple: [Owase, adjacentTo, Kihoku]
Generated description
Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kihoku
Target entity description: Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • A. Nikaupara
    Nikaupara is a small settlement located on the island of Aitutaki in the Cook Islands.
  • B. Hatohobei
    Hatohobei is a small, remote coral island state of Palau in the western Pacific Ocean, also known as Tobi.
  • C. Kahama
    Kahama is a town and district-level administrative center in northwestern Tanzania known for its mining activities and role as a commercial hub in the Shinyanga area.
  • D. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • E. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
NEDg Description generation batch_69e62cf44018819094818f11ac653763 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e674c3a98c8190b32dc6879cb3a5f9 completed April 20, 2026, 6:47 p.m.
Created at: April 8, 2026, 9:36 p.m.