Triple

T17586077
Position Surface form Disambiguated ID Type / Status
Subject Ossessione E428324 entity
Predicate distributor P1951 FINISHED
Object ENIC NE NERFINISHED

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: ENIC | Statement: [Ossessione, distributor, ENIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENIC
Context triple: [Ossessione, distributor, ENIC]
  • A. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • B. ECNI
    ECNI is the Equality Commission for Northern Ireland, an independent public body responsible for promoting equality and tackling discrimination across Northern Ireland.
  • C. ENIC Group chosen
    ENIC Group is a British investment company best known for its majority ownership and long-term control of Premier League football club Tottenham Hotspur.
  • D. ENAS
    ENAS (Efficient Neural Architecture Search) is a method that dramatically reduces the computational cost of neural architecture search by sharing parameters among many candidate architectures within a single super-network.
  • E. Encs
    Encs is a small town in northeastern Hungary that serves as a local administrative and commercial center within Borsod-Abaúj-Zemplén County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.