Triple

T24547098

Position	Surface form	Disambiguated ID	Type / Status
Subject	European VLBI Network	`E607255`	entity
Predicate	hasCorrelator	`P156271`	FINISHED
Object	Joint Institute for VLBI ERIC correlator The Joint Institute for VLBI ERIC correlator is a central data-processing facility that combines and analyzes radio signals from multiple telescopes in very long baseline interferometry experiments for the European VLBI Network.	`E1638274`	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: Joint Institute for VLBI ERIC correlator | Statement: [European VLBI Network, hasCorrelator, Joint Institute for VLBI ERIC correlator]

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: Joint Institute for VLBI ERIC correlator
Triple: [European VLBI Network, hasCorrelator, Joint Institute for VLBI ERIC correlator]

Generated description

The Joint Institute for VLBI ERIC correlator is a central data-processing facility that combines and analyzes radio signals from multiple telescopes in very long baseline interferometry experiments for the European VLBI Network.

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

Target predicate: hasCorrelator
Context triple: [European VLBI Network, hasCorrelator, Joint Institute for VLBI ERIC correlator]

A. hasCorrelationFunctions
Indicates that there exist correlation functions characterizing statistical or relational dependencies between the associated entities.
B. hasCorrelativesSystem
Indicates that one entity possesses or employs a system of correlatives—structured, corresponding elements or forms that are systematically related to each other.
C. correlatorType
Indicates the specific kind or category of correlator used to establish or analyze a correlation between entities or signals.
D. hasCollector
Indicates that an entity is associated with, or owned/curated by, a specific collector.
E. hasCouplingConstant
Indicates that one entity is associated with a specific coupling constant value that quantifies the strength of an interaction or relationship.
F. None of above. chosen

Provenance (7 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_69e2c4c9bf94819082d05da6f5c29907`	completed	April 17, 2026, 11:39 p.m.
NER	Named-entity recognition	`batch_69f2a8caba8c819082c3bf33b6ff9cd0`	completed	April 30, 2026, 12:56 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0feea9d09c8190bbf86d7a4bab70ad`	completed	May 22, 2026, 5:50 a.m.
NEDg	Description generation	`batch_6a0fef20efe08190bb4cb412e2473ae5`	completed	May 22, 2026, 5:52 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff097dd8881908bb83d84a6581ef7`	completed	May 22, 2026, 5:58 a.m.
PD	Predicate disambiguation	`batch_69f2a6b99e7c8190ba7e2dc8729a314a`	completed	April 30, 2026, 12:47 a.m.
PDg	Predicate description generation	`batch_69f2a846c5bc81909ba50cee483bea91`	completed	April 30, 2026, 12:54 a.m.

Created at: April 18, 2026, 2:27 a.m.