Triple
T5075087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo I Dwarf Galaxy |
E114373
|
entity |
| Predicate | massToLightRatio_solarUnits |
P57284
|
FINISHED |
| Object | 5-10 |
—
|
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: 5-10 | Statement: [Leo I Dwarf Galaxy, massToLightRatio_solarUnits, 5-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massToLightRatio_solarUnits Context triple: [Leo I Dwarf Galaxy, massToLightRatio_solarUnits, 5-10]
-
A.
massToLightRatio
chosen
Indicates the relationship between an object's total mass and its luminosity, expressing how much mass corresponds to each unit of emitted light.
-
B.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
C.
totalMass_solarMasses
Indicates the total mass of an object or system expressed in units of solar masses (multiples of the Sun’s mass).
-
D.
luminosityRelativeToSun
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
-
E.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d2243481908c1ae62f7123c4e9 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.