Triple

T29970444
Position Surface form Disambiguated ID Type / Status
Subject Gongyi E761299 entity
Predicate hasAttraction P105 FINISHED
Object Northern Song imperial tombs
The Northern Song imperial tombs are a group of grand royal mausoleums from China’s Northern Song dynasty, renowned for their historical significance and monumental funerary architecture.
 E1895425 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: Northern Song imperial tombs | Statement: [Gongyi, hasAttraction, Northern Song imperial tombs]
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: Northern Song imperial tombs
Triple: [Gongyi, hasAttraction, Northern Song imperial tombs]
Generated description
The Northern Song imperial tombs are a group of grand royal mausoleums from China’s Northern Song dynasty, renowned for their historical significance and monumental funerary architecture.

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_69f22467626081908d5afea489590e96 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6786d6e108190b7f631c222899519 completed May 2, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721f5b47481908f1d4402a260fe77 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a27260f52108190a003e92f0f6c7681 completed June 8, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_6a272898b10c8190a4bcf3373ac64bf5 completed June 8, 2026, 8:39 p.m.
Created at: April 29, 2026, 6:31 p.m.