Triple
T24725642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmington Wildcats |
E618140
|
entity |
| Predicate | universityWebsite |
P22895
|
FINISHED |
| Object | https://www.wilmu.edu |
—
|
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: https://www.wilmu.edu | Statement: [Wilmington Wildcats, universityWebsite, https://www.wilmu.edu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityWebsite Context triple: [Wilmington Wildcats, universityWebsite, https://www.wilmu.edu]
-
A.
hasUniversityWebsite
chosen
Indicates that a university is associated with a specific official website.
-
B.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
-
C.
universityResponse
Indicates that a university issues or provides an official reply, decision, or communication in response to a request, event, or situation.
-
D.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
E.
universityName
Indicates the official name associated with a particular university.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:57 a.m.