Triple
T26382708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laboulbeniomycetes |
E663180
|
entity |
| Predicate | attachmentSite |
P10139
|
FINISHED |
| Object | cuticle of hosts |
—
|
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: cuticle of hosts | Statement: [Laboulbeniomycetes, attachmentSite, cuticle of hosts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attachmentSite Context triple: [Laboulbeniomycetes, attachmentSite, cuticle of hosts]
-
A.
nearSiteOf
Indicates that one entity is located in close physical proximity to the site or location associated with another entity.
-
B.
treatsAnatomicalSite
Indicates that an action, intervention, or agent is directed toward and intended to treat a specific anatomical site.
-
C.
associatedSiteType
Indicates the type or category of site with which an entity is associated.
-
D.
attachedTo
chosen
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
E.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61076a94481909251f4042116768a |
completed | May 2, 2026, 2:55 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:20 p.m.