Triple

T13979346
Position Surface form Disambiguated ID Type / Status
Subject Etajima E336266 entity
Predicate formedByMergerOf P77 FINISHED
Object Nōmi Town
Nōmi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
E1072255 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: Nōmi Town | Statement: [Etajima, formedByMergerOf, Nōmi Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nōmi Town
Context triple: [Etajima, formedByMergerOf, Nōmi Town]
  • A. Yoron Town
    Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
  • B. Wakuya Town
    Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
  • C. Watari Town
    Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
  • D. Misato Town
    Misato Town is a rural municipality in northeastern Japan known for its agricultural landscape and location within Miyagi Prefecture.
  • E. Shingu Town
    Shingu Town is a coastal municipality in Fukuoka Prefecture, Japan, known for its seaside location near Fukuoka City and views over Hakata Bay.
  • 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: Nōmi Town
Triple: [Etajima, formedByMergerOf, Nōmi Town]
Generated description
Nōmi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nōmi Town
Target entity description: Nōmi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
  • A. Yoron Town
    Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
  • B. Wakuya Town
    Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
  • C. Watari Town
    Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
  • D. Misato Town
    Misato Town is a rural municipality in northeastern Japan known for its agricultural landscape and location within Miyagi Prefecture.
  • E. Shingu Town
    Shingu Town is a coastal municipality in Fukuoka Prefecture, Japan, known for its seaside location near Fukuoka City and views over Hakata Bay.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e9fc7248190a9f26e253286ac3c completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e3cafc8190a1806a29b2e46ae9 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba74a96b08190a08c51c231e49e5d completed May 6, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:18 p.m.