Triple
T3930313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuchereria bancrofti |
E93377
|
entity |
| Predicate | microfilariaeCirculateIn |
P8018
|
FINISHED |
| Object | peripheral blood |
—
|
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: peripheral blood | Statement: [Wuchereria bancrofti, microfilariaeCirculateIn, peripheral blood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microfilariaeCirculateIn Context triple: [Wuchereria bancrofti, microfilariaeCirculateIn, peripheral blood]
-
A.
circulatesIn
chosen
Indicates that something moves or flows repeatedly within a particular space, system, or medium.
-
B.
parasitizes
Indicates a relationship in which one organism lives on or in another organism, deriving nutrients or benefits at the host’s expense.
-
C.
bacteriumIdentifiedIn
Indicates that a specific bacterium has been detected, recognized, or confirmed as present in a particular sample, environment, or host.
-
D.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
E.
circulation
Indicates the movement or flow of something (such as information, materials, or currency) through a system, network, or among entities.
- 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.