Triple

T24897955

Position	Surface form	Disambiguated ID	Type / Status
Subject	Clifton Hill group lines	`E623195`	entity
Predicate	secondaryCityTerminus	`P159698`	FINISHED
Object	North Richmond station North Richmond station is a suburban railway station in Melbourne, Australia, serving the inner-city suburb of Richmond on several metropolitan train lines.	`E1655503`	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: North Richmond station | Statement: [Clifton Hill group lines, secondaryCityTerminus, North Richmond station]

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: North Richmond station
Triple: [Clifton Hill group lines, secondaryCityTerminus, North Richmond station]

Generated description

North Richmond station is a suburban railway station in Melbourne, Australia, serving the inner-city suburb of Richmond on several metropolitan train lines.

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

Target predicate: secondaryCityTerminus
Context triple: [Clifton Hill group lines, secondaryCityTerminus, North Richmond station]

A. secondaryCityTerminus chosen
Indicates that a city serves as a secondary (non-primary) terminus or endpoint for a given route or line.
B. secondMetropolitan
Indicates that one entity is the second metropolitan (e.g., second-ranking or second-designated metropolitan authority or see) in relation to another entity.
C. secondaryRailwayStation
Indicates that a railway station functions as a secondary (non-primary) station serving a particular area, line, or settlement.
D. secondaryCapital
Indicates that a location serves as an additional or secondary capital city for a political entity, alongside its primary capital.
E. secondStation
Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
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_69e2fac597708190a922bf39a49ec70a`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f60c3b09488190ade1b69ff7f0df0e`	completed	May 2, 2026, 2:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a103322d8ac8190a0b231e384aad84c`	completed	May 22, 2026, 10:42 a.m.
NEDg	Description generation	`batch_6a1033be69f88190988f54e89df5438a`	completed	May 22, 2026, 10:45 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10346cdcac8190865eb3c1b86c9c2c`	completed	May 22, 2026, 10:48 a.m.
PD	Predicate disambiguation	`batch_69f60b8461ac81908c5bd3d73eed59f4`	completed	May 2, 2026, 2:34 p.m.

Created at: April 18, 2026, 5:26 a.m.