Triple
T37449669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacteria |
E930642
|
entity |
| Predicate | hasRibosomeType |
P12471
|
FINISHED |
| Object | 70S ribosome |
—
|
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: 70S ribosome | Statement: [Bacteria, hasRibosomeType, 70S ribosome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRibosomeType Context triple: [Bacteria, hasRibosomeType, 70S ribosome]
-
A.
ribosomeType
chosen
Indicates the specific kind or category of ribosome associated with or used by an entity.
-
B.
hasOrganelleType
Indicates that an entity possesses or includes a specific type of organelle as part of its structure.
-
C.
isSynthesizedByEnzyme
Indicates that a substance or molecule is produced or formed through the catalytic action of a specific enzyme.
-
D.
hasPolymerizationType
Indicates the specific kind of polymerization process or mechanism associated with an entity.
-
E.
ribosomalRNAFeatures
Indicates features or characteristics specifically associated with ribosomal RNA, such as its structural, functional, or sequence-related properties.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:17 p.m.