Triple

T14199375
Position Surface form Disambiguated ID Type / Status
Subject CIPR E351922 entity
Predicate abbreviation P43 FINISHED
Object CIPR E351922 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: CIPR | Statement: [CIPR, abbreviation, CIPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIPR
Context triple: [CIPR, abbreviation, CIPR]
  • A. CIPR chosen
    CIPR is the abbreviated name of the International Commission for the Protection of the Rhine, an international body dedicated to coordinating efforts to protect and sustainably manage the Rhine River and its basin.
  • B. CIPM
    The CIPM (Comité International des Poids et Mesures) is the international committee responsible for overseeing the global system of units and metrology, operating under the authority of the Metre Convention.
  • C. CICAP
    CICAP is an Italian skeptical organization dedicated to investigating pseudoscience, paranormal claims, and the misuse of science.
  • D. CIPA
    CIPA (Camera & Imaging Products Association) is a Japanese industry organization that develops standards and guidelines for digital camera and imaging products.
  • E. CIPIL
    CIPIL is a research and teaching centre at the University of Cambridge focused on intellectual property and information law.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.