Triple

T6327449
Position Surface form Disambiguated ID Type / Status
Subject GLONASS E141894 entity
Predicate coordinateSystem P2054 FINISHED
Object PZ-90
PZ-90 is a geodetic coordinate reference system used by the Russian GLONASS satellite navigation system to define positions on Earth.
 E586557 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: PZ-90 | Statement: [GLONASS, coordinateSystem, PZ-90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PZ-90
Context triple: [GLONASS, coordinateSystem, PZ-90]
  • A. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • B. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • C. P80
    P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. PB-02
    PB-02 is the regional vehicle registration code assigned to the Amritsar district in the Indian state of Punjab.
  • 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: PZ-90
Triple: [GLONASS, coordinateSystem, PZ-90]
Generated description
PZ-90 is a geodetic coordinate reference system used by the Russian GLONASS satellite navigation system to define positions on Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PZ-90
Target entity description: PZ-90 is a geodetic coordinate reference system used by the Russian GLONASS satellite navigation system to define positions on Earth.
  • A. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • B. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • C. P80
    P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. PB-02
    PB-02 is the regional vehicle registration code assigned to the Amritsar district in the Indian state of Punjab.
  • 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.