Triple

T23188736
Position Surface form Disambiguated ID Type / Status
Subject Beta Canis Minoris E579669 entity
Predicate hasPhotometricSystem P62581 FINISHED
Object Johnson V 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: Johnson V | Statement: [Beta Canis Minoris, hasPhotometricSystem, Johnson V]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotometricSystem
Context triple: [Beta Canis Minoris, hasPhotometricSystem, Johnson V]
  • A. photometricSystem chosen
    Indicates the photometric measurement system or filter set used when observing or recording a quantity.
  • B. hasPhotometry
    Indicates that an entity possesses or is associated with photometric data or measurements.
  • C. hasSelenographicCoordinateSystem
    Indicates that something is associated with or defined using a coordinate system based on the Moon’s (selenographic) latitude and longitude.
  • D. hasTristimulusValue
    Indicates that an entity is associated with a specific set of three numerical components representing its color in a tristimulus color space.
  • E. hasProjectionSystem
    Indicates that one entity uses or is defined by a particular coordinate or map projection system associated with another entity.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd592248190a7e705c554885cd1 completed April 29, 2026, 4:57 a.m.
PD Predicate disambiguation batch_69ef8a041c0081909afb670d17a5aaba completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:05 p.m.