Triple
T22116146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welkom Campus |
E546547
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Welkom Campus |
—
|
NE NERFINISHED |
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: Welkom Campus | Statement: [Welkom Campus, name, Welkom Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welkom Campus Context triple: [Welkom Campus, name, Welkom Campus]
-
A.
Welkom Campus
chosen
Welkom Campus is a satellite campus of the Central University of Technology located in Welkom, South Africa, offering a range of vocationally oriented higher education programs.
-
B.
Wilda campus
Wilda campus is one of the urban campuses of Poznań University of Technology, located in the Wilda district of Poznań, Poland.
-
C.
Haarentor campus
Haarentor campus is one of the main sites of the University of Oldenburg in Germany, housing central academic and administrative facilities.
-
D.
Woudestein campus
Woudestein campus is the main campus of Erasmus University Rotterdam, housing most of its faculties, facilities, and student services.
-
E.
Uithof campus
Uithof campus is the main science and university district of Utrecht, Netherlands, known for its modern architecture, research facilities, and concentration of academic institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294dc1148190b95ff00f475a6713 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.