Triple
T3839727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1036 Ganymed |
E93420
|
entity |
| Predicate | spectralClass |
P52318
|
FINISHED |
| Object | 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: S | Statement: [1036 Ganymed, spectralClass, S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralClass Context triple: [1036 Ganymed, spectralClass, S]
-
A.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
B.
spectralTypeOfCompanion
Indicates the spectral classification assigned to a companion object in a system, describing the type of its electromagnetic spectrum.
-
C.
stellarClass
Indicates the spectral classification relationship between a star and its stellar class (e.g., O, B, A, F, G, K, M).
-
D.
luminosityClass
Indicates the stellar luminosity classification that specifies a star’s intrinsic brightness and evolutionary stage.
-
E.
spectrographType
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:18 p.m.