Triple

T27258793
Position Surface form Disambiguated ID Type / Status
Subject Qinhuai District E687698 entity
Predicate hasLandmark P105 FINISHED
Object Confucius Temple commercial street
Confucius Temple commercial street is a famous historic and cultural shopping area in Nanjing known for its traditional architecture, local snacks, and vibrant night scenery along the Qinhuai River.
 E1764038 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: Confucius Temple commercial street | Statement: [Qinhuai District, hasLandmark, Confucius Temple commercial street]
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: Confucius Temple commercial street
Triple: [Qinhuai District, hasLandmark, Confucius Temple commercial street]
Generated description
Confucius Temple commercial street is a famous historic and cultural shopping area in Nanjing known for its traditional architecture, local snacks, and vibrant night scenery along the Qinhuai River.

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_69ef35567e808190a94458cd44ebff0c completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626ec91d081909c0129150c7718f3 completed May 2, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262859cac8190a81c59669130f39e completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a12678e364c819090fe99fc9a40c406 completed May 24, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_6a12684a28f881909560685951d6131c completed May 24, 2026, 2:54 a.m.
Created at: April 27, 2026, 10:51 a.m.