Triple

T2951576
Position Surface form Disambiguated ID Type / Status
Subject Earth-centered Earth-fixed E79830 entity
Predicate transformationFrom P28821 FINISHED
Object geodetic latitude-longitude-height coordinates 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: geodetic latitude-longitude-height coordinates | Statement: [Earth-centered Earth-fixed, transformationFrom, geodetic latitude-longitude-height coordinates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transformationFrom
Context triple: [Earth-centered Earth-fixed, transformationFrom, geodetic latitude-longitude-height coordinates]
  • A. transformationLocation
    Indicates the place or spatial context where a transformation or change of state occurs.
  • B. convertedFrom
    Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
  • C. transformsUnder
    Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
  • D. coordinateTransformation chosen
    Indicates a relationship where one coordinate system is mathematically converted or mapped into another, preserving the correspondence of points between them.
  • E. ateFrom
    Indicates that one entity consumed food or some substance that was taken from or served in another entity (such as a container, place, or source).
  • F. None of above.

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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fcea5c8190b7d80de942bcb4f7 completed March 8, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.