Triple

T1373009
Position Surface form Disambiguated ID Type / Status
Subject Okinawa Prefecture E30155 entity
Predicate hasCity P316 FINISHED
Object Itoman
Itoman is a coastal city at the southern tip of Okinawa Island in Japan, historically known for its fishing industry and as a significant site in the Battle of Okinawa.
 E160829 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: Itoman | Statement: [Okinawa Prefecture, hasCity, Itoman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itoman
Context triple: [Okinawa Prefecture, hasCity, Itoman]
  • A. Yufuin
    Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
  • B. Furano
    Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational 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: Itoman
Triple: [Okinawa Prefecture, hasCity, Itoman]
Generated description
Itoman is a coastal city at the southern tip of Okinawa Island in Japan, historically known for its fishing industry and as a significant site in the Battle of Okinawa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itoman
Target entity description: Itoman is a coastal city at the southern tip of Okinawa Island in Japan, historically known for its fishing industry and as a significant site in the Battle of Okinawa.
  • A. Yufuin
    Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
  • B. Furano
    Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f4889881908103473a0173e23f completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1a576c81909379c2c0e350cd12 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdeef1b3c81908210246be0a8b37d completed March 8, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69ace0042cd08190a0e1499d4c8e0769 completed March 8, 2026, 2:33 a.m.
Created at: March 1, 2026, 7:57 p.m.