Triple

T22698127
Position Surface form Disambiguated ID Type / Status
Subject M66 Group E561240 entity
Predicate redshiftApprox P22645 FINISHED
Object 0.002 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: 0.002 | Statement: [M66 Group, redshiftApprox, 0.002]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: redshiftApprox
Context triple: [M66 Group, redshiftApprox, 0.002]
  • A. redshift chosen
    Indicates that the observed wavelength of light or other electromagnetic radiation from an object is shifted toward longer (redder) wavelengths, typically due to relative motion away from the observer or cosmic expansion.
  • B. junctionCountApprox
    Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
  • C. approximateEstimation
    Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
  • D. hasApproximateMemberCount
    Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
  • E. lapCountApproximate
    Indicates that the recorded number of laps is an estimate rather than an exact, precise count.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178a008448190b393335704128fe8 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:14 p.m.