Triple

T35650060

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kwun Tong Bypass	`E1030121`	entity
Predicate	connectsTo	`P845`	FINISHED
Object	Lei Yue Mun Interchange Lei Yue Mun Interchange is a major road junction in Hong Kong that links the Kwun Tong Bypass with surrounding urban routes in the Lei Yue Mun and Kwun Tong areas.	`E2154244`	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: Lei Yue Mun Interchange | Statement: [Kwun Tong Bypass, connectsTo, Lei Yue Mun Interchange]

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: Lei Yue Mun Interchange
Triple: [Kwun Tong Bypass, connectsTo, Lei Yue Mun Interchange]

Generated description

Lei Yue Mun Interchange is a major road junction in Hong Kong that links the Kwun Tong Bypass with surrounding urban routes in the Lei Yue Mun and Kwun Tong areas.

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_69f76e0938088190a8f199631e97dec3`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f79f745ec08190bb404b90e0c05fb4`	completed	May 3, 2026, 7:18 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3885e12fa481909f59f3265f2cc1eb`	completed	June 22, 2026, 12:46 a.m.
NEDg	Description generation	`batch_6a3886c807fc81908b54dc825e1770a6`	completed	June 22, 2026, 12:50 a.m.
NED2	Entity disambiguation (via description)	`batch_6a388786698c8190a77c02a874d0d790`	completed	June 22, 2026, 12:53 a.m.

Created at: May 3, 2026, 4:05 p.m.