Triple
T20480271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmi streams |
E502431
|
entity |
| Predicate | hasChemicalAbundancePattern |
P62456
|
FINISHED |
| Object | alpha-enhanced stars |
—
|
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: alpha-enhanced stars | Statement: [Helmi streams, hasChemicalAbundancePattern, alpha-enhanced stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChemicalAbundancePattern Context triple: [Helmi streams, hasChemicalAbundancePattern, alpha-enhanced stars]
-
A.
hasChemicalAbundances
chosen
Indicates that an entity possesses specific quantities or relative proportions of one or more chemical substances.
-
B.
hasChemicalAbundanceStudies
Indicates that there exist studies or analyses measuring and characterizing the chemical abundances associated with the subject.
-
C.
chemicalAbundances
Indicates the relative quantities or concentrations of different chemical species present in a given system or environment.
-
D.
hasChemicalProperty
Indicates that an entity possesses or exhibits a specific chemical property or characteristic.
-
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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b55d7a881909dfe3ea0e74b742b |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:34 a.m.