Triple
T35307279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichoptera |
E1019669
|
entity |
| Predicate | caseConstruction |
P7599
|
FINISHED |
| Object | silk-bound |
—
|
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: silk-bound | Statement: [Trichoptera, caseConstruction, silk-bound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseConstruction Context triple: [Trichoptera, caseConstruction, silk-bound]
-
A.
caseTypes
Indicates the types or categories of cases associated with or applicable to an entity or situation.
-
B.
constructionType
chosen
Indicates the specific method or style by which something is built or constructed.
-
C.
constructs
Indicates that an agent builds, creates, or assembles something, typically resulting in a new or more complex entity or structure.
-
D.
hasConstruction
Indicates that one entity possesses, contains, or is characterized by a particular construction, structure, or built form associated with it.
-
E.
usesCase
Indicates that one entity employs, applies, or makes practical use of another entity for a particular purpose or function.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f790522fbc81908a918eda08edd6e1 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.