Triple

T38270600
Position Surface form Disambiguated ID Type / Status
Subject Lung Yeuk Tau villages E1021195 entity
Predicate accessedVia P1985 FINISHED
Object Lung Yeuk Tau Road
Lung Yeuk Tau Road is a local roadway in Fanling, Hong Kong, that serves as the main access route to the historic Lung Yeuk Tau walled villages and surrounding rural communities.
E2195237 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: Lung Yeuk Tau Road | Statement: [Lung Yeuk Tau villages, accessedVia, Lung Yeuk Tau Road]
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: Lung Yeuk Tau Road
Triple: [Lung Yeuk Tau villages, accessedVia, Lung Yeuk Tau Road]
Generated description
Lung Yeuk Tau Road is a local roadway in Fanling, Hong Kong, that serves as the main access route to the historic Lung Yeuk Tau walled villages and surrounding rural 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_69f76dee198c8190bf5109421e47a658 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb1dde0f48190ad2cc1705e58cd7c completed May 7, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a42157eaa2081908fe15dd71f7b9589 completed June 29, 2026, 6:49 a.m.
NEDg Description generation batch_6a4216ecd3688190a117869a30d4c46b completed June 29, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a421746980081908d03f4fafab2c10f completed June 29, 2026, 6:57 a.m.
Created at: May 3, 2026, 4:30 p.m.