Triple
T6014248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarius Dwarf Galaxy |
E133908
|
entity |
| Predicate | hasLowLuminosity |
P68766
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Aquarius Dwarf Galaxy, hasLowLuminosity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowLuminosity Context triple: [Aquarius Dwarf Galaxy, hasLowLuminosity, true]
-
A.
hasVeryLowSurfaceBrightness
Indicates that an entity exhibits an extremely faint or low level of brightness across its visible surface.
-
B.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
C.
hasNoStarBrighterThanMagnitude
Indicates that, within a given set or system, there is no star whose brightness exceeds (is numerically less than) the specified magnitude threshold.
-
D.
luminosity_W
Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
-
E.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
- F. None of above. chosen
Provenance (4 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f544fd88190b6777c4db04e274f |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.