Triple

T819811
Position Surface form Disambiguated ID Type / Status
Subject Osaka University E17727 entity
Predicate shortName P43 FINISHED
Object Handai
Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
E100333 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: Handai | Statement: [Osaka University, shortName, Handai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handai
Context triple: [Osaka University, shortName, Handai]
  • A. Nonouti
    Nonouti is a coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and subsistence fishing lifestyle.
  • B. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • C. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • D. Minna
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • E. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • 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: Handai
Triple: [Osaka University, shortName, Handai]
Generated description
Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Handai
Target entity description: Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • A. Nonouti
    Nonouti is a coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and subsistence fishing lifestyle.
  • B. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • C. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Minna
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928f8a808190aaf5f2a2f3ee676f completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7976b7334819082bb9f40601c1092 completed March 4, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69a79b206a5481908591ee9e1d6b3fdd completed March 4, 2026, 2:38 a.m.
Created at: March 1, 2026, 7:38 p.m.