Triple
T27890689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAR Library |
E705345
|
entity |
| Predicate | offersResearchAssistance |
P13080
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [DAR Library, offersResearchAssistance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersResearchAssistance Context triple: [DAR Library, offersResearchAssistance, yes]
-
A.
offersResearch
Indicates that one entity provides or makes available research opportunities, resources, or services to another entity.
-
B.
coordinatesResearchOn
Indicates that one entity organizes and directs the planning, execution, and integration of research activities involving another entity.
-
C.
coResearcher
Indicates that two or more individuals collaborate as peers on the same research work or project.
-
D.
hasResearchServices
chosen
Indicates that one entity provides or offers research-related services to another entity.
-
E.
researchAccess
Indicates that one entity is permitted to access, use, or retrieve another entity specifically for research-related purposes.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 6:35 p.m.