Triple

T18436771
Position Surface form Disambiguated ID Type / Status
Subject Clean Development Mechanism E450411 entity
Predicate creditAcronym P131597 FINISHED
Object CER NE NERFINISHED

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: CER | Statement: [Clean Development Mechanism, creditAcronym, CER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CER
Context triple: [Clean Development Mechanism, creditAcronym, CER]
  • A. CER chosen
    CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
  • B. 2 CER
    2 CER is an Australian Army combat engineer regiment that provides mobility, counter-mobility, and survivability support to land forces.
  • C. CERI
    CERI is a research-focused branch of the OECD that explores and promotes innovative approaches to education policy and practice worldwide.
  • D. CED
    CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
  • E. CED
    CED (Capacitance Electronic Disc) is an obsolete analog video disc format developed by RCA that stored movies on grooved vinyl-like discs read by a stylus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creditAcronym
Context triple: [Clean Development Mechanism, creditAcronym, CER]
  • A. creditFunction
    Indicates a financial role or operation through which an entity extends, manages, or utilizes credit within an economic or transactional context.
  • B. cardType
    Indicates the classification or category assigned to a card within a given system or context.
  • C. cardFunction
    Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
  • D. creditCardPartner
    Indicates a partnership or affiliation between entities related to credit card products or services.
  • E. cardBrandsInvolved
    Indicates that specific payment card brands are involved or participate in a given transaction, process, or context.
  • F. None of above. chosen

Provenance (4 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0cd30c8190b8417c264e60d3a5 completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:29 a.m.