Triple
T34582335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kroupa initial mass function |
E887941
|
entity |
| Predicate | hasSlopeBelow0.5SolarMasses |
P179340
|
FINISHED |
| Object | approximately -1.3 in logarithmic form |
—
|
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: approximately -1.3 in logarithmic form | Statement: [Kroupa initial mass function, hasSlopeBelow0.5SolarMasses, approximately -1.3 in logarithmic form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlopeBelow0.5SolarMasses Context triple: [Kroupa initial mass function, hasSlopeBelow0.5SolarMasses, approximately -1.3 in logarithmic form]
-
A.
hasLowMass
Indicates that the subject possesses a relatively small amount of mass compared to a given standard or reference.
-
B.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
C.
hasSubstellarObjects
Indicates that a celestial system or region contains one or more substellar objects, such as brown dwarfs or large planetary-mass bodies.
-
D.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
E.
isMoreMassiveThanSun
Indicates that the subject has a greater mass than the Sun.
- F. None of above. chosen
Provenance (4 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720c4ac8c8190a90b3e3d82d8c10d |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:03 a.m.