Triple

T30155551
Position Surface form Disambiguated ID Type / Status
Subject 长江武汉段 E766509 entity
Predicate 经过著名景观 P41742 FINISHED
Object 汉口江滩
汉口江滩是位于武汉市长江北岸的一处集防洪、休闲、观景于一体的大型滨江城市公园与开放式江滩景观带。
 E1902213 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: 汉口江滩 | Statement: [长江武汉段, 经过著名景观, 汉口江滩]
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: 汉口江滩
Triple: [长江武汉段, 经过著名景观, 汉口江滩]
Generated description
汉口江滩是位于武汉市长江北岸的一处集防洪、休闲、观景于一体的大型滨江城市公园与开放式江滩景观带。

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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274cc2c97c8190bc6206f4e0519079 completed June 8, 2026, 11:14 p.m.
NEDg Description generation batch_6a274ddf8d688190b480d115456651c3 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274eb19fd48190a2d38ace0cc22b77 completed June 8, 2026, 11:22 p.m.
Created at: April 29, 2026, 7:20 p.m.