Triple
T25372624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styx file server |
E632968
|
entity |
| Predicate | presentsResourcesAs |
P110233
|
FINISHED |
| Object | files |
—
|
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: files | Statement: [Styx file server, presentsResourcesAs, files]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentsResourcesAs Context triple: [Styx file server, presentsResourcesAs, files]
-
A.
includesResources
chosen
Indicates that one entity contains, encompasses, or makes available specific resources as part of its composition or offering.
-
B.
presentsView
Indicates that one entity displays or renders another entity as a view or visual interface to a user.
-
C.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
D.
isResourceFor
Indicates that one entity serves as a resource, support, or means of use for another entity.
-
E.
presentedFor
Indicates that one entity was formally offered, submitted, or shown to another entity for consideration, review, or action.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:38 p.m.