Triple

T10377923
Position Surface form Disambiguated ID Type / Status
Subject NSRS E244553 entity
Predicate plannedReplacementDatum P9576 FINISHED
Object NATRF2022
NATRF2022 is a modern terrestrial reference frame for North America designed to replace older geodetic datums and improve the accuracy of positioning and mapping.
 E859780 NE FINISHED

How this triple was built (4 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: NATRF2022 | Statement: [NSRS, plannedReplacementDatum, NATRF2022]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NATRF2022
Context triple: [NSRS, plannedReplacementDatum, NATRF2022]
  • A. NATI
    NATI is the stock ticker symbol for National Instruments Corporation, an American company known for its automated test and measurement systems and LabVIEW software platform.
  • B. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • C. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • D. NFR
    NFR is the abbreviation for the Northeast Frontier Railway, a major railway zone of Indian Railways serving the northeastern region of India.
  • E. NFR
    NFR is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NATRF2022
Triple: [NSRS, plannedReplacementDatum, NATRF2022]
Generated description
NATRF2022 is a modern terrestrial reference frame for North America designed to replace older geodetic datums and improve the accuracy of positioning and mapping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NATRF2022
Target entity description: NATRF2022 is a modern terrestrial reference frame for North America designed to replace older geodetic datums and improve the accuracy of positioning and mapping.
  • A. NATI
    NATI is the stock ticker symbol for National Instruments Corporation, an American company known for its automated test and measurement systems and LabVIEW software platform.
  • B. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • C. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • D. NFR
    NFR is the abbreviation for the Northeast Frontier Railway, a major railway zone of Indian Railways serving the northeastern region of India.
  • E. NFR
    NFR is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
  • F. None of above. chosen

Provenance (5 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb99ef088190b64661b2f42c320e completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d7957e52108190a8d262b30a7d2780 completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d798e3dba08190911fc9fec5d2c8e2 completed April 9, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69d79a6086fc8190ab8454a216dfda8c completed April 9, 2026, 12:24 p.m.
Created at: April 6, 2026, 12:03 p.m.