Triple

T26369000
Position Surface form Disambiguated ID Type / Status
Subject 建業 E660719 entity
Predicate presentIn P795 FINISHED
Object 中國歷史地圖
《中國歷史地圖》是一部以歷代疆域變遷與重要城邑、交通、政區分布為主題的中國歷史地圖集。
 E1721640 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: 中國歷史地圖 | Statement: [建業, presentIn, 中國歷史地圖]
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: 中國歷史地圖
Triple: [建業, presentIn, 中國歷史地圖]
Generated description
《中國歷史地圖》是一部以歷代疆域變遷與重要城邑、交通、政區分布為主題的中國歷史地圖集。

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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6102dfc848190a94d1ef0f3c9e04e completed May 2, 2026, 2:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a715dd88190af87cfd90fa3f2c1 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119bbc54dc81908eac09f455b4c32a completed May 23, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a119c8b70c081908712fdefe5c7a147 completed May 23, 2026, 12:24 p.m.
Created at: April 26, 2026, 10:57 p.m.