Triple

T38271213
Position Surface form Disambiguated ID Type / Status
Subject Pat Sin Leng Country Park E1021211 entity
Predicate contains P35 FINISHED
Object Pat Sin Leng Nature Trail
Pat Sin Leng Nature Trail is a scenic hiking route in Hong Kong known for its views of the Pat Sin Leng mountain range and surrounding countryside.
 E2265251 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: Pat Sin Leng Nature Trail | Statement: [Pat Sin Leng Country Park, contains, Pat Sin Leng Nature Trail]
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: Pat Sin Leng Nature Trail
Triple: [Pat Sin Leng Country Park, contains, Pat Sin Leng Nature Trail]
Generated description
Pat Sin Leng Nature Trail is a scenic hiking route in Hong Kong known for its views of the Pat Sin Leng mountain range and surrounding countryside.

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_6a419df67f6081908d068fa7f7211a30 completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a41a238036c8190808515893e8b170c completed June 28, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a41a299ddfc81908627bd984350cfeb completed June 28, 2026, 10:39 p.m.
Created at: May 3, 2026, 4:30 p.m.