Triple

T32288321
Position Surface form Disambiguated ID Type / Status
Subject Sungari offensive operation E824894 entity
Predicate location P40 FINISHED
Object Sungari River
The Sungari River is a major river in Northeast China and a key tributary of the Amur River, historically significant as a strategic waterway in Manchuria.
E2052502 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: Sungari River | Statement: [Sungari offensive operation, location, Sungari River]
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: Sungari River
Triple: [Sungari offensive operation, location, Sungari River]
Generated description
The Sungari River is a major river in Northeast China and a key tributary of the Amur River, historically significant as a strategic waterway in Manchuria.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd311adc8190839fa2f9bb2e727d completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35813113908190ad02a2b9a6e4b39e completed June 19, 2026, 5:49 p.m.
NEDg Description generation batch_6a358669e47c8190815192db6dc8cfca completed June 19, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_6a358ec1398c819096f61833dd9e0add completed June 19, 2026, 6:47 p.m.
Created at: May 1, 2026, 12:44 a.m.