Triple

T28533487
Position Surface form Disambiguated ID Type / Status
Subject Global Positioning System satellites E722101 entity
Predicate satellitesPerOrbitalPlane P164616 FINISHED
Object at least 4 LITERAL 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: at least 4 | Statement: [Global Positioning System satellites, satellitesPerOrbitalPlane, at least 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: satellitesPerOrbitalPlane
Context triple: [Global Positioning System satellites, satellitesPerOrbitalPlane, at least 4]
  • A. numberOfOrbitalPlanes
    Indicates the specific count of distinct orbital planes associated with an object or system.
  • B. numberOfSatellites
    Indicates the quantity of satellites that are associated with or orbit a given entity.
  • C. numberOfGeostationarySatellites
    Indicates the quantity of geostationary satellites associated with a given entity.
  • D. numberOfOrbitsPlanned
    Indicates the planned count of orbital revolutions or passes an object is expected to complete.
  • E. numberOfInclinedGeosynchronousSatellites
    Indicates the count of geosynchronous satellites whose orbits are inclined relative to Earth’s equatorial plane.
  • F. None of above. chosen

Provenance (4 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_69f01a5d7ec88190ada2d5be7c06c35d completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64fd847008190b2e0f3364ac3fedd completed May 2, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69f64cb0d8008190912e1430cfaf92aa completed May 2, 2026, 7:12 p.m.
PDg Predicate description generation batch_69f64db8ee1881909362701d72ffe282 completed May 2, 2026, 7:17 p.m.
Created at: April 28, 2026, 3:30 a.m.