Triple

T24224724

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cercanías Madrid (via Sol)	`E601561`	entity
Predicate	centralNode	`P81888`	FINISHED
Object	Sol transport interchange Sol transport interchange is a major multimodal transit hub in central Madrid that connects commuter rail, metro lines, and bus services beneath the Puerta del Sol.	`E1625186`	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: Sol transport interchange | Statement: [Cercanías Madrid (via Sol), centralNode, Sol transport 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: Sol transport interchange
Triple: [Cercanías Madrid (via Sol), centralNode, Sol transport interchange]

Generated description

Sol transport interchange is a major multimodal transit hub in central Madrid that connects commuter rail, metro lines, and bus services beneath the Puerta del Sol.

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

Target predicate: centralNode
Context triple: [Cercanías Madrid (via Sol), centralNode, Sol transport interchange]

A. centralBinaryComponent
Indicates that an entity functions as one of the primary stellar components in a central binary system.
B. centralBranch
Indicates that one entity functions as the main or primary branch within a larger organizational or structural system relative to another entity.
C. centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
D. centralEntity chosen
Indicates that the subject serves as the primary or most important entity around which related entities, actions, or information are organized.
E. centralResource
Indicates that one entity functions as the primary or core resource upon which another entity depends or is organized.
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_69e29537ca548190b94a37ebe1977caf`	completed	April 17, 2026, 8:16 p.m.
NER	Named-entity recognition	`batch_69f287ddfecc81909f5396857974bc8c`	completed	April 29, 2026, 10:36 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fbd2549848190849e08e001851e17`	completed	May 22, 2026, 2:19 a.m.
NEDg	Description generation	`batch_6a0fbf33fd488190b40cd0557fd8f9b1`	completed	May 22, 2026, 2:28 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fbf96d0308190923d072b37de6615`	completed	May 22, 2026, 2:29 a.m.
PD	Predicate disambiguation	`batch_69f1c448abec8190b87cbf9ed419a309`	completed	April 29, 2026, 8:41 a.m.

Created at: April 18, 2026, midnight