Triple
T15056866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arenberg Castle |
E379517
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Dijle River |
E525569
|
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: Dijle River | Statement: [Arenberg Castle, locatedOn, Dijle River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dijle River Context triple: [Arenberg Castle, locatedOn, Dijle River]
-
A.
Dijle
chosen
The Dijle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining other waterways that ultimately form part of the Rhine–Meuse river system.
-
B.
Geul River
The Geul River is a small, winding river in the southeastern Netherlands and eastern Belgium, known for its scenic valleys, historic watermills, and role in shaping the hilly landscape of South Limburg.
-
C.
Dieuze
Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
-
D.
River Waal
River Waal is a major distributary branch of the Rhine in the Netherlands, serving as an important waterway for transport and trade.
-
E.
Oldetrijne
Oldetrijne is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec878c52c8190bf010b1fd4d21f65 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:01 a.m.