Triple

T6525014
Position Surface form Disambiguated ID Type / Status
Subject LabVIEW E151280 entity
Predicate developer P73 FINISHED
Object NI
NI (National Instruments) is an American technology company known for its automated test and measurement hardware and software platforms used by engineers and scientists worldwide.
E602860 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: NI | Statement: [LabVIEW, developer, NI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NI
Context triple: [LabVIEW, developer, NI]
  • A. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • B. NI
    NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
  • C. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • D. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • 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: NI
Triple: [LabVIEW, developer, NI]
Generated description
NI (National Instruments) is an American technology company known for its automated test and measurement hardware and software platforms used by engineers and scientists worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NI
Target entity description: NI (National Instruments) is an American technology company known for its automated test and measurement hardware and software platforms used by engineers and scientists worldwide.
  • A. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • B. NI
    NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
  • C. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • D. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5271b7c8190a602f6ec72efe04c completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d622831c8190b09b8539e36afb7c completed March 27, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69c6d6b00ebc8190b893b3e209bf07c0 completed March 27, 2026, 7:12 p.m.
Created at: March 27, 2026, 1:45 p.m.