Triple

T3243158
Position Surface form Disambiguated ID Type / Status
Subject Leiden University E68009 entity
Predicate memberOf P10 FINISHED
Object Europaeum E33680 NE FINISHED

How this triple was built (2 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: Europaeum | Statement: [Leiden University, memberOf, Europaeum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europaeum
Context triple: [Leiden University, memberOf, Europaeum]
  • A. Europaeum chosen
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • B. UNA Europa
    UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
  • C. Europol
    Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
  • D. Europa riconosciuta
    Europa riconosciuta is an opera seria by Antonio Salieri, originally composed for the inauguration of Milan’s La Scala in 1778.
  • E. Societas Europaea
    Societas Europaea is a public limited-liability company structure under European Union law that allows firms to operate across EU member states with a single, unified corporate form.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27757dff0819081a26aea52ede49d completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.