Triple

T21739961
Position Surface form Disambiguated ID Type / Status
Subject Shintomi E536627 entity
Predicate hasNearbyCity P350 FINISHED
Object Hyuga
Hyuga is a coastal city in Miyazaki Prefecture on Japan’s Kyushu island, known for its scenic shoreline and fishing industry.
E1499949 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: Hyuga | Statement: [Shintomi, hasNearbyCity, Hyuga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyuga
Context triple: [Shintomi, hasNearbyCity, Hyuga]
  • A. Hyūga
    Hyūga was a Japanese Ise-class hybrid battleship–aircraft carrier of the Imperial Japanese Navy that served during World War II.
  • B. Nagato
    Nagato is a coastal city in Japan’s Yamaguchi Prefecture known for its scenic seaside landscapes and hot spring resorts.
  • C. Nagato
    Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
  • D. Fusa
    Fusa is a village in Vestland county, Norway, known historically as the administrative center of the former Fusa Municipality.
  • E. Chōshi
    Chōshi is a coastal city in Chiba Prefecture, Japan, known for its major fishing port, soy sauce production, and scenic Pacific Ocean views.
  • 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: Hyuga
Triple: [Shintomi, hasNearbyCity, Hyuga]
Generated description
Hyuga is a coastal city in Miyazaki Prefecture on Japan’s Kyushu island, known for its scenic shoreline and fishing industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hyuga
Target entity description: Hyuga is a coastal city in Miyazaki Prefecture on Japan’s Kyushu island, known for its scenic shoreline and fishing industry.
  • A. Hyūga
    Hyūga was a Japanese Ise-class hybrid battleship–aircraft carrier of the Imperial Japanese Navy that served during World War II.
  • B. Nagato
    Nagato is a coastal city in Japan’s Yamaguchi Prefecture known for its scenic seaside landscapes and hot spring resorts.
  • C. Nagato
    Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
  • D. Fusa
    Fusa is a village in Vestland county, Norway, known historically as the administrative center of the former Fusa Municipality.
  • E. Chōshi
    Chōshi is a coastal city in Chiba Prefecture, Japan, known for its major fishing port, soy sauce production, and scenic Pacific Ocean views.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a714c208190b96efe23ed3bf0db completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ed6393c8190973dda40d63eb736 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a305abef08190ae24c97fa5a528e3 completed May 17, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ec03808190a7f6028243e5728a completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:49 p.m.