Triple
T12901707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidiians |
E308625
|
entity |
| Predicate | biology |
P107350
|
FINISHED |
| Object | severely disfigured by the Phage |
—
|
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: severely disfigured by the Phage | Statement: [Vidiians, biology, severely disfigured by the Phage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biology Context triple: [Vidiians, biology, severely disfigured by the Phage]
-
A.
usedInBiology
Indicates that something is employed, applied, or serves a function within the field or practices of biology.
-
B.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
-
C.
scienceDomain
Indicates that one entity is a field, branch, or domain within science to which the other entity is related or belongs.
-
D.
systematics
Indicates the relationship of organizing, classifying, and arranging entities into a structured system based on their characteristics or relationships.
-
E.
affectsBiologicalProcess
Indicates a relationship where one entity produces a change or influence on a biological process of another entity or system.
- F. None of above. chosen
Provenance (4 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.