Triple
T22557807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B33 |
E557732
|
entity |
| Predicate | spectralFeaturesInclude |
P67397
|
FINISHED |
| Object | molecular lines such as CO |
—
|
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: molecular lines such as CO | Statement: [B33, spectralFeaturesInclude, molecular lines such as CO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectralFeaturesInclude Context triple: [B33, spectralFeaturesInclude, molecular lines such as CO]
-
A.
spectralProperty
Indicates a relationship where an entity possesses or is characterized by a specific spectral feature, measurement, or behavior (e.g., in its frequency, wavelength, or energy spectrum).
-
B.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
C.
spectralTypesPresent
Indicates that certain spectral types are present or occur within a given context or set of entities.
-
D.
spectrumContains
chosen
Indicates that a given spectrum includes or exhibits a specified component, feature, or range within it.
-
E.
hasConditionSpectrum
Indicates that an entity is associated with a range or continuum of related conditions rather than a single discrete condition.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.