Triple

T28050647
Position Surface form Disambiguated ID Type / Status
Subject The Peony Pavilion E708809 entity
Predicate setting P1957 FINISHED
Object Southern Song dynasty China
Southern Song dynasty China was a late medieval Chinese empire (1127–1279) centered in the south, renowned for its economic prosperity, urban culture, and flourishing arts and literature.
 E1798947 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: Southern Song dynasty China | Statement: [The Peony Pavilion, setting, Southern Song dynasty China]
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: Southern Song dynasty China
Triple: [The Peony Pavilion, setting, Southern Song dynasty China]
Generated description
Southern Song dynasty China was a late medieval Chinese empire (1127–1279) centered in the south, renowned for its economic prosperity, urban culture, and flourishing arts and literature.

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_69ef9b6df9f48190bbb971d02cbe1b65 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63fd945f08190b2526b01686a1562 completed May 2, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b8c0c8c481908384c239c2127092 completed May 26, 2026, 3:14 p.m.
NEDg Description generation batch_6a15b95e42e88190aabddfef491b8bca completed May 26, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a15bb27200c8190bf9e7a14821f054a completed May 26, 2026, 3:24 p.m.
Created at: April 27, 2026, 8:33 p.m.