Triple

T20679721
Position Surface form Disambiguated ID Type / Status
Subject S/1989 N 6 E508257 entity
Predicate hasApproximateDiameter_km P7302 FINISHED
Object 66 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: 66 | Statement: [S/1989 N 6, hasApproximateDiameter_km, 66]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateDiameter_km
Context triple: [S/1989 N 6, hasApproximateDiameter_km, 66]
  • A. meanDiameter_km
    Indicates the average diameter of an object or region measured in kilometers.
  • B. approximateDiameter chosen
    Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
  • C. averageDiameter
    Indicates the mean value of the diameters of a set of objects or instances in the relationship.
  • D. hasEquatorialDiameter_km
    Indicates the measurement, in kilometers, of an object's diameter across its equator.
  • E. hasPolarDiameter_km
    Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea516b88190b3e90d03fa981a44 completed April 21, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69e5c03caee881908be4dd25796a03d5 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 11:44 a.m.