Triple

T10255172
Position Surface form Disambiguated ID Type / Status
Subject Aomori Prefecture E240442 entity
Predicate hasCity P316 FINISHED
Object Mutsu
Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
 E913682 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: Mutsu | Statement: [Aomori Prefecture, hasCity, Mutsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mutsu
Context triple: [Aomori Prefecture, hasCity, Mutsu]
  • A. Mutsu
    Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
  • B. Ōshū
    Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
  • C. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • D. Sumoto
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • E. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • 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: Mutsu
Triple: [Aomori Prefecture, hasCity, Mutsu]
Generated description
Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mutsu
Target entity description: Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
  • A. Mutsu
    Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
  • B. Ōshū
    Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
  • C. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • D. Sumoto
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • E. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbacad608190adddd91f13e4113b completed April 19, 2026, 12:33 p.m.
NEDg Description generation batch_69e4d9e87508819080932fac06fb754d completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4dda28b0081909245b65faae3533b completed April 19, 2026, 1:50 p.m.
Created at: April 6, 2026, 11:30 a.m.