Triple

T35712428

Position	Surface form	Disambiguated ID	Type / Status
Subject	Beijing–Xi'an high-speed rail corridor	`E1031899`	entity
Predicate	integratesLine	`P1075`	FINISHED
Object	Beijing–Zhengzhou high-speed railway The Beijing–Zhengzhou high-speed railway is a major high-speed rail line in China that connects the capital Beijing with the central city of Zhengzhou as part of the broader Beijing–Xi'an high-speed rail corridor.	`E2155472`	NE FINISHED

How this triple was built (3 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: Beijing–Zhengzhou high-speed railway | Statement: [Beijing–Xi'an high-speed rail corridor, integratesLine, Beijing–Zhengzhou high-speed railway]

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: Beijing–Zhengzhou high-speed railway
Triple: [Beijing–Xi'an high-speed rail corridor, integratesLine, Beijing–Zhengzhou high-speed railway]

Generated description

The Beijing–Zhengzhou high-speed railway is a major high-speed rail line in China that connects the capital Beijing with the central city of Zhengzhou as part of the broader Beijing–Xi'an high-speed rail corridor.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: integratesLine
Context triple: [Beijing–Xi'an high-speed rail corridor, integratesLine, Beijing–Zhengzhou high-speed railway]

A. integrates chosen
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
B. integratesOn
Indicates that one entity is designed to work seamlessly within, or be combined functionally with, another entity or platform.
C. connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
D. линия
Indicates a relationship where something is a line or forms a linear connection or boundary between points or areas.
E. loopLine
Indicates that a line or path forms a closed loop, returning to its starting point without interruption.
F. None of above.

Provenance (6 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_69f76e0df1d08190965b1c6dff94c391`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7a34f8ee08190a040304635539a8f`	completed	May 3, 2026, 7:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3885e79e788190add7887e2fefb7c7`	completed	June 22, 2026, 12:46 a.m.
NEDg	Description generation	`batch_6a38868142e8819087358ae9d3ece01b`	completed	June 22, 2026, 12:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a388c6d344c81908659c78610b05daf`	completed	June 22, 2026, 1:14 a.m.
PD	Predicate disambiguation	`batch_69f7a06f125c8190843af194f042a465`	completed	May 3, 2026, 7:22 p.m.

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