Triple
T15704603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keutenberg |
E380674
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Valkenburg aan de Geul |
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 aan de Geul | Statement: [Keutenberg, locatedNear, Valkenburg aan de Geul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkenburg aan de Geul Context triple: [Keutenberg, locatedNear, Valkenburg aan de Geul]
-
A.
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.
-
B.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
C.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
D.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
E.
Valkenburg
Valkenburg is a historic Dutch town in the province of Limburg, known for its hilly landscape, tourism, and cycling events.
- 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_69ff87631854819084c20a335119dfcc |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:45 a.m.