Triple

T29542765
Position Surface form Disambiguated ID Type / Status
Subject Yuanjiang Hani, Yi and Dai Autonomous County E749546 entity
Predicate locatedIn P40 FINISHED
Object upper Red River valley
The upper Red River valley is a fertile, mountainous river basin in southwestern China known for its diverse ethnic communities, terraced agriculture, and subtropical climate.
 E1871681 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: upper Red River valley | Statement: [Yuanjiang Hani, Yi and Dai Autonomous County, locatedIn, upper Red River valley]
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: upper Red River valley
Triple: [Yuanjiang Hani, Yi and Dai Autonomous County, locatedIn, upper Red River valley]
Generated description
The upper Red River valley is a fertile, mountainous river basin in southwestern China known for its diverse ethnic communities, terraced agriculture, and subtropical climate.

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_69f0bd48691081908cecad39bac591e0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cf092c881908d7034c9c2bc61d5 completed May 2, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c3d35048190a2937d4cd22f268b completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a26108e78fc8190b35e3ec5df7b0c8a completed June 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a2614d0e1c08190b057693cf0a339de completed June 8, 2026, 1:03 a.m.
Created at: April 28, 2026, 5:04 p.m.