Triple
T5931308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sporothrix |
E131943
|
entity |
| Predicate | primaryPortalOfEntry |
P66789
|
FINISHED |
| Object | skin |
—
|
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: skin | Statement: [Sporothrix, primaryPortalOfEntry, skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPortalOfEntry Context triple: [Sporothrix, primaryPortalOfEntry, skin]
-
A.
primaryInfectionStructure
Indicates the structure that serves as the main or initial means by which an infection is established in a host.
-
B.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
C.
primaryTerminalFor
Indicates that one entity serves as the main or principal terminal associated with another entity.
-
D.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
E.
primaryMount
Indicates that one entity serves as the main or default mount (attachment or support point) for 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.