Triple
T21660202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taenia saginata |
E534574
|
entity |
| Predicate | infectiveStageForHumans |
P121601
|
FINISHED |
| Object | cysticercus |
—
|
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: cysticercus | Statement: [Taenia saginata, infectiveStageForHumans, cysticercus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectiveStageForHumans Context triple: [Taenia saginata, infectiveStageForHumans, cysticercus]
-
A.
infectsLifeStage
chosen
Indicates that one entity causes infection specifically in a particular developmental or life stage of another organism.
-
B.
infectionPhase
Indicates the specific stage or period within the course of an infection that an entity is currently experiencing.
-
C.
pathogenicityToHumans
Indicates that an entity has the capacity to cause disease or harmful health effects in humans.
-
D.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
E.
transmissionBetweenHumans
Indicates that something (such as a disease, information, or influence) is passed directly from one human to another.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c07bcb88190a9864672c20325ff |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.