Triple
T5872316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mytilinidiales |
E130544
|
entity |
| Predicate | hasCellWallComponent |
P14748
|
FINISHED |
| Object | chitin |
—
|
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: chitin | Statement: [Mytilinidiales, hasCellWallComponent, chitin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCellWallComponent Context triple: [Mytilinidiales, hasCellWallComponent, chitin]
-
A.
cellWallComponent
chosen
Indicates that one entity is a molecular or structural component of the cell wall of the other entity.
-
B.
cellWallContainsPeptidoglycan
Indicates that the cell wall of an organism includes peptidoglycan as one of its structural components.
-
C.
hasWallType
Indicates the specific kind or classification of wall associated with an entity.
-
D.
hasXylem
Indicates that an entity possesses xylem tissue or structures for conducting water and nutrients.
-
E.
hasVascularTissue
Indicates that an entity possesses specialized vascular tissues (such as xylem and phloem) for internal transport of fluids and nutrients.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.