Triple
T17093032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taï Forest ebolavirus |
E414770
|
entity |
| Predicate | hostSpeciesInIndexCase |
P58406
|
FINISHED |
| Object | chimpanzee |
—
|
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: chimpanzee | Statement: [Taï Forest ebolavirus, hostSpeciesInIndexCase, chimpanzee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostSpeciesInIndexCase Context triple: [Taï Forest ebolavirus, hostSpeciesInIndexCase, chimpanzee]
-
A.
hostSpecies
chosen
Indicates the species that serves as the host for another organism, agent, or entity.
-
B.
isCarrierOf
Indicates that one entity serves as the bearer, holder, or transmitter of another entity (such as an object, substance, trait, or information).
-
C.
isReservoirOf
Indicates that one entity serves as a storage source or container holding a particular substance, resource, or quantity for another entity or purpose.
-
D.
hospitalizedIn
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
-
E.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfabf548190a0d37bab3d4ef2fa |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.