Triple

T27766917
Position Surface form Disambiguated ID Type / Status
Subject Hakka walled villages E701623 entity
Predicate relatedTo P37 FINISHED
Object Hakka architecture
Hakka architecture is a traditional Chinese building style best known for its massive, communal, and often fortified residential complexes designed to house and protect extended Hakka communities.
E701623 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: Hakka architecture | Statement: [Hakka walled villages, relatedTo, Hakka architecture]
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: Hakka architecture
Triple: [Hakka walled villages, relatedTo, Hakka architecture]
Generated description
Hakka architecture is a traditional Chinese building style best known for its massive, communal, and often fortified residential complexes designed to house and protect extended Hakka communities.

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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637939be0819082653d4115cd1be1 completed May 2, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecb734408190b46558b0c6713fb0 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed2afa9481909cc0ca56270ba2a0 completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12edccfe54819094da363072bdf7a6 completed May 24, 2026, 12:23 p.m.
Created at: April 27, 2026, 4:31 p.m.