Triple

T29047898

Position	Surface form	Disambiguated ID	Type / Status
Subject	LGV Nord	`E735182`	entity
Predicate	formsAxis	`P145664`	FINISHED
Object	Paris–Lille–Brussels–London high-speed axis The Paris–Lille–Brussels–London high-speed axis is a major European high-speed rail corridor linking France, Belgium, and the United Kingdom via the Channel Tunnel.	`E1847242`	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: Paris–Lille–Brussels–London high-speed axis | Statement: [LGV Nord, formsAxis, Paris–Lille–Brussels–London high-speed axis]

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: Paris–Lille–Brussels–London high-speed axis
Triple: [LGV Nord, formsAxis, Paris–Lille–Brussels–London high-speed axis]

Generated description

The Paris–Lille–Brussels–London high-speed axis is a major European high-speed rail corridor linking France, Belgium, and the United Kingdom via the Channel Tunnel.

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

Target predicate: formsAxis
Context triple: [LGV Nord, formsAxis, Paris–Lille–Brussels–London high-speed axis]

A. formsAxisOf
Indicates that one entity serves together with another as the central line or primary axis around which a structure, system, or configuration is organized.
B. axisWith chosen
Indicates that one entity serves as or lies along a principal axis in relation to another entity.
C. coordinateAxis
Indicates that one entity serves as a reference axis or directional basis for positioning, measuring, or orienting another entity in a coordinate system.
D. usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
E. axesType
Indicates the type or configuration of axes associated with an entity, such as their orientation, scale, or dimensional setup.
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_69f077e64b88819094d37bdbca8191b3`	completed	April 28, 2026, 9:03 a.m.
NER	Named-entity recognition	`batch_69f727afd5d88190ad48735cd1b32787`	completed	May 3, 2026, 10:47 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a251f738e00819092cb24795dd594d1`	completed	June 7, 2026, 7:36 a.m.
NEDg	Description generation	`batch_6a252349bdcc8190a167f8376cf6c58f`	completed	June 7, 2026, 7:52 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2527fa35c481909dcfac5d18038aed`	completed	June 7, 2026, 8:12 a.m.
PD	Predicate disambiguation	`batch_69f72737c42c8190a3f781a5e98868ff`	completed	May 3, 2026, 10:45 a.m.

Created at: April 28, 2026, 10:06 a.m.