Triple

T6327607
Position Surface form Disambiguated ID Type / Status
Subject EGNOS E141897 entity
Predicate hasComponent P35 FINISHED
Object NLES
NLES (Navigation Land Earth Station) is a ground-based station that uplinks correction and integrity data to navigation satellites in satellite-based augmentation systems like EGNOS.
E586569 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: NLES | Statement: [EGNOS, hasComponent, NLES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NLES
Context triple: [EGNOS, hasComponent, NLES]
  • A. NLC
    NLC is an abbreviation commonly used for the National Labor College, a former U.S. institution dedicated to higher education and training for labor union members and leaders.
  • B. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • C. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • D. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • E. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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: NLES
Triple: [EGNOS, hasComponent, NLES]
Generated description
NLES (Navigation Land Earth Station) is a ground-based station that uplinks correction and integrity data to navigation satellites in satellite-based augmentation systems like EGNOS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NLES
Target entity description: NLES (Navigation Land Earth Station) is a ground-based station that uplinks correction and integrity data to navigation satellites in satellite-based augmentation systems like EGNOS.
  • A. NLC
    NLC is an abbreviation commonly used for the National Labor College, a former U.S. institution dedicated to higher education and training for labor union members and leaders.
  • B. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • C. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • D. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • E. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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.