Triple

T38505891
Position Surface form Disambiguated ID Type / Status
Subject 上饶市 E921761 entity
Predicate administers P123 FINISHED
Object 广信区
广信区是中国江西省上饶市下辖的一个市辖区，位于上饶市城区及其周边地区，是当地重要的行政与经济区域之一。
 E2272548 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: 广信区 | Statement: [上饶市, administers, 广信区]
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: 广信区
Triple: [上饶市, administers, 广信区]
Generated description
广信区是中国江西省上饶市下辖的一个市辖区，位于上饶市城区及其周边地区，是当地重要的行政与经济区域之一。

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_69f76ea3c5448190aa7002fc1ba3f874 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd266f7d48190af5f745c90c75952 completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d65d57dc81909cfad901084a2c54 completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41d7782cc0819082f2f2b55a8e0fb1 completed June 29, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a41d7eacd4881909dc961a6e9a4d082 completed June 29, 2026, 2:26 a.m.
Created at: May 3, 2026, 4:32 p.m.