Triple

T5152396
Position Surface form Disambiguated ID Type / Status
Subject Etajima E116226 entity
Predicate formedByMerger P6637 FINISHED
Object Okimi
Okimi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
 E498539 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: Okimi | Statement: [Etajima, formedByMerger, Okimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okimi
Context triple: [Etajima, formedByMerger, Okimi]
  • A. Ōkimi
    Ōkimi was the title used for the supreme ruler of early Japan’s Yamato state, a precursor to the later Japanese emperor.
  • B. Inari Ōkami
    Inari Ōkami is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits, widely revered at thousands of shrines across Japan.
  • C. Ronin
    Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
  • D. Heike
    Heike is a feminine given name of German origin, commonly used in German-speaking countries.
  • E. Mousai
    Mousai is the collective name for the Muses, the inspirational goddesses of the arts, literature, and sciences in Greek mythology.
  • 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: Okimi
Triple: [Etajima, formedByMerger, Okimi]
Generated description
Okimi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okimi
Target entity description: Okimi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • A. Ōkimi
    Ōkimi was the title used for the supreme ruler of early Japan’s Yamato state, a precursor to the later Japanese emperor.
  • B. Inari Ōkami
    Inari Ōkami is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits, widely revered at thousands of shrines across Japan.
  • C. Ronin
    Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
  • D. Heike
    Heike is a feminine given name of German origin, commonly used in German-speaking countries.
  • E. Mousai
    Mousai is the collective name for the Muses, the inspirational goddesses of the arts, literature, and sciences in Greek mythology.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed3f4af288190beec97356b21f990 completed March 21, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69bed49625688190972acb1cb0c2a83b completed March 21, 2026, 5:25 p.m.
Created at: March 20, 2026, 1:44 p.m.