Triple

T6287242
Position Surface form Disambiguated ID Type / Status
Subject HD 29139 E140929 entity
Predicate hasMetallicity[Fe/H] P7287 FINISHED
Object about -0.34 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: about -0.34 | Statement: [HD 29139, hasMetallicity[Fe/H], about -0.34]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetallicity[Fe/H]
Context triple: [HD 29139, hasMetallicity[Fe/H], about -0.34]
  • A. hasChemicalAbundances
    Indicates that an entity possesses specific quantities or relative proportions of one or more chemical substances.
  • B. chemicalAbundances
    Indicates the relative quantities or concentrations of different chemical species present in a given system or environment.
  • C. hostStarMetallicityEffect
    Indicates how the metallicity (elemental composition) of a host star influences the properties, formation, or occurrence of its orbiting planets.
  • D. metallicity chosen
    Indicates the proportion of an object's mass that is made up of elements heavier than hydrogen and helium, typically used to describe the chemical richness of stars or galaxies.
  • E. cosmologicalAbundance
    Indicates the typical proportion or concentration of a substance or entity in the universe as a whole, according to cosmological measurements or models.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ff9f74819088dc603f56fc930c completed March 22, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69c0560a0270819098ad2785b91e8f39 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:26 p.m.