Triple
T19686589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpius X-1 |
E472725
|
entity |
| Predicate | compactObjectMass |
P7301
|
FINISHED |
| Object | about 1.4 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 1.4 solar masses | Statement: [Scorpius X-1, compactObjectMass, about 1.4 solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactObjectMass Context triple: [Scorpius X-1, compactObjectMass, about 1.4 solar masses]
-
A.
typicalMassRange
Indicates the usual or expected range of mass values associated with an entity.
-
B.
minimumMass
Indicates the smallest mass value that an entity or system is required, allowed, or observed to have within a given context.
-
C.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
D.
enclosesMassWithin
Indicates that one entity surrounds and contains the mass or material of another entity within its boundaries.
-
E.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420c3f50819082b64b1fa4335e56 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.