Triple
T15704516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauberg |
E380672
|
entity |
| Predicate | startsIn |
P389
|
FINISHED |
| Object | Valkenburg town centre |
E380675
|
NE 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: Valkenburg town centre | Statement: [Cauberg, startsIn, Valkenburg town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkenburg town centre Context triple: [Cauberg, startsIn, Valkenburg town centre]
-
A.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
B.
Vredenburg
Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
-
C.
Vredenburg
Vredenburg is a former name of the Muziekcentrum Vredenburg, a prominent concert and music venue in Utrecht, Netherlands.
-
D.
Valkenburg aan de Geul
chosen
Valkenburg aan de Geul is a historic town in the hilly Limburg region of the Netherlands, known for its cycling heritage, marlstone caves, and medieval castle ruins.
-
E.
Vallendar
Vallendar is a small town on the Rhine River in western Germany, known for hosting the prestigious WHU – Otto Beisheim School of Management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6fc3608190a85b25755f5345db |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.