Triple
T28695180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naegleria gruberi |
E729393
|
entity |
| Predicate | isNonPathogenic |
P99745
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Naegleria gruberi, isNonPathogenic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonPathogenic Context triple: [Naegleria gruberi, isNonPathogenic, true]
-
A.
nonPathogenicMember
chosen
Indicates that one entity is a member of a group or species that does not cause disease in the other entity or in a specified host.
-
B.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
C.
isNonNucleated
Indicates that an entity lacks a nucleus or central core structure.
-
D.
becomesPathogenicUnder
Indicates that an entity transitions into a disease-causing or harmful state when exposed to a specified condition or factor.
-
E.
isNonNeoplastic
Indicates that the condition, lesion, or tissue change does not involve neoplastic (tumorous or cancerous) growth.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 5:39 a.m.