Triple

T6327695
Position Surface form Disambiguated ID Type / Status
Subject Real-time Kinematic Positioning E141899 entity
Predicate alsoKnownAs P39 FINISHED
Object RTK
RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
 E586573 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: RTK | Statement: [Real-time Kinematic Positioning, alsoKnownAs, RTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTK
Context triple: [Real-time Kinematic Positioning, alsoKnownAs, RTK]
  • A. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • D. ROK
    ROK is the stock ticker symbol for Rockwell Automation, a major U.S.-based industrial automation and information technology company.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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: RTK
Triple: [Real-time Kinematic Positioning, alsoKnownAs, RTK]
Generated description
RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTK
Target entity description: RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
  • A. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • D. ROK
    ROK is the stock ticker symbol for Rockwell Automation, a major U.S.-based industrial automation and information technology company.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e9532081908277f10ec380a486 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60410223081908c1cf3663d4b14c0 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:29 p.m.