Triple

T10319716
Position Surface form Disambiguated ID Type / Status
Subject International GNSS Service E242107 entity
Predicate usesSystem P182 FINISHED
Object GPS E26827 NE FINISHED

How this triple was built (2 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: GPS | Statement: [International GNSS Service, usesSystem, GPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GPS
Context triple: [International GNSS Service, usesSystem, GPS]
  • A. GPS chosen
    GPS (Global Positioning System) is a satellite-based navigation system that provides precise location and timing information to military and civilian users worldwide.
  • B. GPS
    GPS is the Division of Geological and Planetary Sciences at the California Institute of Technology, focusing on research and education in Earth and planetary sciences.
  • C. GPS
    GPS is a professional school at the University of California San Diego specializing in international affairs, public policy, and global strategy.
  • D. Differential GPS
    Differential GPS is an enhanced positioning system that improves the accuracy of standard GPS signals by using ground-based reference stations to correct signal errors.
  • E. GLONASS
    GLONASS is Russia’s global satellite navigation system, providing worldwide positioning and timing services as an alternative to GPS.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ca62b48190844b4cbf55d53a43 completed April 7, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.