Triple
T19686576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpius X-1 |
E472725
|
entity |
| Predicate | XrayLuminosity |
P135127
|
FINISHED |
| Object | about 2×10^38 erg/s |
—
|
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 2×10^38 erg/s | Statement: [Scorpius X-1, XrayLuminosity, about 2×10^38 erg/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: XrayLuminosity Context triple: [Scorpius X-1, XrayLuminosity, about 2×10^38 erg/s]
-
A.
XRayLuminosity
chosen
Indicates the amount of energy an object emits in the form of X-ray radiation.
-
B.
luminosity_W
Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
-
C.
totalLuminosity
Indicates the overall emitted light or radiant power produced by an entity, typically by summing or integrating the luminosity from all its parts or components.
-
D.
hasXRaySources
Indicates that an entity possesses or is associated with one or more X-ray emitting sources.
-
E.
totalLuminosity_approx
Indicates that the total luminosity of one entity is approximately equal to the total luminosity of another entity, within some acceptable margin of error.
- 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.