Triple
T21884530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 36486 |
E540370
|
entity |
| Predicate | hasMassPrimary |
P98463
|
FINISHED |
| Object | about 20 solar masses |
—
|
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 20 solar masses | Statement: [HD 36486, hasMassPrimary, about 20 solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassPrimary Context triple: [HD 36486, hasMassPrimary, about 20 solar masses]
-
A.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
B.
hasMassBaseAmong
Indicates that one entity possesses a fundamental or baseline mass value when considered among a specified group or context.
-
C.
hasMasses
Indicates that one entity possesses or is associated with one or more masses (quantities of matter).
-
D.
hasMassTerm
Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
-
E.
massOfPrimary
chosen
Indicates the mass value associated with the primary object in a relationship or system.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.