Triple

T3789090
Position Surface form Disambiguated ID Type / Status
Subject EIT Health E89600 entity
Predicate name P16 FINISHED
Object EIT Health E89600 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: EIT Health | Statement: [EIT Health, name, EIT Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EIT Health
Context triple: [EIT Health, name, EIT Health]
  • A. EIT Health chosen
    EIT Health is a European innovation network that brings together businesses, research institutions, and universities to accelerate healthcare innovation and improve health outcomes across Europe.
  • B. EIT Manufacturing
    EIT Manufacturing is a Knowledge and Innovation Community of the European Institute of Innovation and Technology focused on strengthening Europe’s manufacturing sector through innovation, education, and entrepreneurship.
  • C. EIT Digital
    EIT Digital is a leading European innovation and education organization that drives digital transformation by supporting startups, scaleups, and advanced digital skills programs across Europe.
  • D. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • E. EIT InnoEnergy
    EIT InnoEnergy is a European innovation engine that supports and invests in sustainable energy startups, education, and technology to accelerate the energy transition.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:14 p.m.