Triple
T16284903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinea worm disease |
E395363
|
entity |
| Predicate | etiologicAgentType |
P2897
|
FINISHED |
| Object | nematode |
—
|
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: nematode | Statement: [Guinea worm disease, etiologicAgentType, nematode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etiologicAgentType Context triple: [Guinea worm disease, etiologicAgentType, nematode]
-
A.
pathogenType
chosen
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
-
B.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
C.
pathogenGenus
Indicates that one entity is a pathogen belonging to, or classified under, the specified genus.
-
D.
pathogenicMember
Indicates that an entity is a member of a group or set that is characterized as pathogenic (capable of causing disease).
-
E.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24913a55081909a9a5a7a7f4806cc |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.