Triple
T19321880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R Scuti |
E483243
|
entity |
| Predicate | massLoss |
P67064
|
FINISHED |
| Object | experiences stellar wind and mass loss |
—
|
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: experiences stellar wind and mass loss | Statement: [R Scuti, massLoss, experiences stellar wind and mass loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massLoss Context triple: [R Scuti, massLoss, experiences stellar wind and mass loss]
-
A.
massLossRate
Indicates the rate at which an object or system is losing mass over time.
-
B.
hasMassLoss
chosen
Indicates that an entity undergoes a reduction in its mass over time or as a result of some process or interaction.
-
C.
causedLossOf
Indicates that one entity brought about or was responsible for another entity experiencing a loss.
-
D.
massContribution
Indicates that an entity contributes some or all of its mass to another entity or system.
-
E.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.