Triple
T18695488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurus molecular cloud complex |
E457104
|
entity |
| Predicate | containsMolecule |
P24581
|
FINISHED |
| Object | carbon monoxide |
—
|
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: carbon monoxide | Statement: [Taurus molecular cloud complex, containsMolecule, carbon monoxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMolecule Context triple: [Taurus molecular cloud complex, containsMolecule, carbon monoxide]
-
A.
hasMolecularWeight
Indicates that an entity possesses a specific molecular weight value, typically expressed in standardized units such as daltons or g/mol.
-
B.
containsChemical
chosen
Indicates that one entity includes or has within it a specified chemical substance.
-
C.
hasMolecularFunction
Indicates that an entity (typically a gene product or protein) performs or is associated with a specific molecular-level activity or function.
-
D.
hasMolecularTarget
Indicates that one entity (such as a drug or compound) is directed toward, binds to, or specifically interacts with a particular molecular target (such as a protein, receptor, or gene).
-
E.
containsAsSubstructure
Indicates that one structure includes another structure entirely within it as a component or embedded part.
- 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.