Triple
T6959802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reaper strain vampires |
E161340
|
entity |
| Predicate | infectionMethod |
P73776
|
FINISHED |
| Object | saliva-borne pathogen |
—
|
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: saliva-borne pathogen | Statement: [Reaper strain vampires, infectionMethod, saliva-borne pathogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionMethod Context triple: [Reaper strain vampires, infectionMethod, saliva-borne pathogen]
-
A.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
B.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
C.
infectionRequires
Indicates that the occurrence or establishment of an infection depends on the presence or fulfillment of a specified condition, factor, or prerequisite.
-
D.
transmissionBetweenHumans
Indicates that something (such as a disease, information, or influence) is passed directly from one human to another.
-
E.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d9bb57e88190a3a7cec34e3b617f |
completed | March 27, 2026, 7:25 p.m. |
Created at: March 27, 2026, 2:29 p.m.