Triple
T3930323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuchereria bancrofti |
E93377
|
entity |
| Predicate | pathology |
P22707
|
FINISHED |
| Object | lymphatic obstruction |
—
|
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: lymphatic obstruction | Statement: [Wuchereria bancrofti, pathology, lymphatic obstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pathology Context triple: [Wuchereria bancrofti, pathology, lymphatic obstruction]
-
A.
pathologyFeature
chosen
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
B.
pathogenicity
Indicates that one entity has the capacity to cause disease or harmful pathological effects in another entity.
-
C.
humanDisease
Indicates that the subject is a disease that affects humans.
-
D.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
-
E.
primaryDisease
Indicates that a disease is the main or principal medical condition affecting an entity, as opposed to secondary or comorbid conditions.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.