Triple

T29206544
Position Surface form Disambiguated ID Type / Status
Subject Battle of Lake Khasan E740426 entity
Predicate commander P1061 FINISHED
Object Kamezō Suetaka
Kamezō Suetaka was an Imperial Japanese Army general best known for commanding Japanese forces during the 1938 Battle of Lake Khasan against the Soviet Union.
E2120650 NE FINISHED

How this triple was built (2 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: Kamezō Suetaka | Statement: [Battle of Lake Khasan, commander, Kamezō Suetaka]
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: Kamezō Suetaka
Triple: [Battle of Lake Khasan, commander, Kamezō Suetaka]
Generated description
Kamezō Suetaka was an Imperial Japanese Army general best known for commanding Japanese forces during the 1938 Battle of Lake Khasan against the Soviet Union.

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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f664022f0881908c77482eeead99d2 completed May 2, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b248b6d8819083d6f2d1ecac346d completed June 21, 2026, 9:43 a.m.
NEDg Description generation batch_6a37b44d33708190bf09f5667351e546 completed June 21, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37b4aaf3b081909f052e9cdbfd5996 completed June 21, 2026, 9:53 a.m.
Created at: April 28, 2026, 12:09 p.m.