Triple
T6287071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic thin disk |
E140925
|
entity |
| Predicate | hasMassFraction |
P69904
|
FINISHED |
| Object | significant fraction of Milky Way stellar mass |
—
|
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: significant fraction of Milky Way stellar mass | Statement: [Galactic thin disk, hasMassFraction, significant fraction of Milky Way stellar mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassFraction Context triple: [Galactic thin disk, hasMassFraction, significant fraction of Milky Way stellar mass]
-
A.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
B.
hasMassTerm
Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
-
C.
hasNeutralHydrogenMass
Indicates that an entity possesses a specified amount of mass in the form of neutral (non-ionized) hydrogen.
-
D.
hasMassNumber
Indicates that an atomic nucleus or isotope is associated with a specific mass number, representing the total count of protons and neutrons it contains.
-
E.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
- 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_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. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.