Triple

T21802781
Position Surface form Disambiguated ID Type / Status
Subject European Communications Office E538276 entity
Predicate supportsBody P4565 FINISHED
Object CEPT ECC 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: CEPT ECC | Statement: [European Communications Office, supportsBody, CEPT ECC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEPT ECC
Context triple: [European Communications Office, supportsBody, CEPT ECC]
  • A. ECC
    The ECC is Pakistan’s top economic decision-making body, responsible for key fiscal and economic policy approvals within the federal government.
  • B. ECC
    ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
  • C. ECC
    ECC is a public-key cryptography approach that uses the mathematics of elliptic curves to provide strong security with relatively small key sizes.
  • D. CEPT chosen
    CEPT is a European intergovernmental organization that coordinates postal and telecommunications policies and regulations among its member countries.
  • E. CEPT
    CEPT is an Indian university in Ahmedabad renowned for its programs in architecture, planning, design, and related built-environment disciplines.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780062688190a6c3a2a0364f0f77 completed April 28, 2026, 9:04 a.m.
Created at: April 16, 2026, 6:53 p.m.