Triple
T18695549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 57 |
E457105
|
entity |
| Predicate | dominantEmissionLineWavelength |
P5242
|
FINISHED |
| Object | 500.7 nm |
—
|
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: 500.7 nm | Statement: [Messier 57, dominantEmissionLineWavelength, 500.7 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantEmissionLineWavelength Context triple: [Messier 57, dominantEmissionLineWavelength, 500.7 nm]
-
A.
dominantEmissionLines
Indicates that the specified emission lines are the most intense or prominent spectral features in the observed emission from an object or region.
-
B.
primaryWavelength
chosen
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
-
C.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
D.
hasSpectralLines
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
-
E.
dominantRadiationMechanism
Indicates the primary physical process responsible for producing the observed radiation in a given system or environment.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.