Triple
T36532149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quasi-Stellar Object |
E900473
|
entity |
| Predicate | luminosityRange |
P140977
|
FINISHED |
| Object | up to 1000 times the luminosity of a large galaxy |
—
|
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: up to 1000 times the luminosity of a large galaxy | Statement: [Quasi-Stellar Object, luminosityRange, up to 1000 times the luminosity of a large galaxy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luminosityRange Context triple: [Quasi-Stellar Object, luminosityRange, up to 1000 times the luminosity of a large galaxy]
-
A.
luminanceRange
Indicates the span between the minimum and maximum luminance (brightness) values associated with an entity or visual element.
-
B.
luminosityComparison
chosen
Indicates a relationship where the brightness or luminous intensity of one entity is compared to that of another.
-
C.
luminosity_W
Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
-
D.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
-
E.
hasLowLuminosity
Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.