Triple

T18273521
Position Surface form Disambiguated ID Type / Status
Subject NATO Response Force E437673 entity
Predicate abbreviation P43 FINISHED
Object NRF 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: NRF | Statement: [NATO Response Force, abbreviation, NRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRF
Context triple: [NATO Response Force, abbreviation, NRF]
  • A. NRF chosen
    NRF is the NATO Response Force, a high-readiness multinational force capable of rapid deployment for collective defense and crisis response operations.
  • B. NRF
    NRF (Network Repository Function) is a 5G core network function that maintains a registry of available network functions and their services, enabling discovery and communication among them.
  • C. NRF
    The NRF is South Africa’s central government account into which all national revenue is paid and from which public funds are allocated and spent.
  • D. NCR
    NCR is an Indian Railways zone headquartered in Prayagraj that manages key rail routes across parts of Uttar Pradesh, Madhya Pradesh, Rajasthan, and Haryana.
  • E. NCR
    NCR is the commonly used abbreviation for the National Capital Region encompassing Delhi and its surrounding urban areas in India.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5005006108190bbddddbe6bbdc911 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.