Triple
T13544035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhenen |
E323464
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Rhenen |
E323464
|
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: Rhenen | Statement: [Rhenen, officialName, Rhenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhenen Context triple: [Rhenen, officialName, Rhenen]
-
A.
Rhenen
chosen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
B.
Rheinberg
Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
-
C.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
-
D.
Den Briel
Den Briel (Brielle) is a historic Dutch town and seaport in South Holland, known for its role in the Eighty Years' War and as the birthplace of admiral Maarten Tromp.
-
E.
Culemborger
A Culemborger is a resident or native of the Dutch city of Culemborg in the province of Gelderland.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.