Triple

T34930316

Position	Surface form	Disambiguated ID	Type / Status
Subject	Matadi–Kinshasa corridor	`E1007412`	entity
Predicate	linkedInlandPort	`P87223`	FINISHED
Object	Port of Kinshasa The Port of Kinshasa is a major river port on the Congo River in the Democratic Republic of the Congo, serving as a key hub for inland waterway transport and trade for the capital city and its surrounding regions.	`E2123058`	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: Port of Kinshasa | Statement: [Matadi–Kinshasa corridor, linkedInlandPort, Port of Kinshasa]

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: Port of Kinshasa
Triple: [Matadi–Kinshasa corridor, linkedInlandPort, Port of Kinshasa]

Generated description

The Port of Kinshasa is a major river port on the Congo River in the Democratic Republic of the Congo, serving as a key hub for inland waterway transport and trade for the capital city and its surrounding regions.

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

Target predicate: linkedInlandPort
Context triple: [Matadi–Kinshasa corridor, linkedInlandPort, Port of Kinshasa]

A. linkedToInlandPort chosen
Indicates a relationship where something has a direct connection or association with an inland port, such as for transport, logistics, or access purposes.
B. isInlandPort
Indicates that a port facility is located inland, away from the open sea, typically on a river, canal, or lake, while still serving maritime or shipping functions.
C. isPortOf
Indicates that one location or facility serves as a port or harbor for another place, entity, or transportation route.
D. connectsInlandRoutesTo
Indicates that one entity serves as a link or junction that enables inland transportation routes to reach or connect with another entity.
E. linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
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_69f76dc3d83881909d5c3c14455cfa2c`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fe78e545888190a239af1a84280fa0`	completed	May 8, 2026, 11:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37bd07b1088190a377b684edd3f93e`	completed	June 21, 2026, 10:29 a.m.
NEDg	Description generation	`batch_6a37bdd99244819093669c98be46f903`	completed	June 21, 2026, 10:32 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37bfd6e5a48190b6bcc0b9860ad4bb`	completed	June 21, 2026, 10:41 a.m.
PD	Predicate disambiguation	`batch_69fe7842742081908043eb950ed69f92`	completed	May 8, 2026, 11:56 p.m.

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