Triple
T7407596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillenburg |
E170913
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Eijsden-Margraten |
E738100
|
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: Eijsden-Margraten | Statement: [Dillenburg, twinTown, Eijsden-Margraten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eijsden-Margraten Context triple: [Dillenburg, twinTown, Eijsden-Margraten]
-
A.
Eijsden-Margraten
chosen
Eijsden-Margraten is a municipality in the southern Dutch province of Limburg, known for its rolling countryside and the presence of the Netherlands American Cemetery honoring U.S. World War II soldiers.
-
B.
Roermond
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
-
C.
Kerkrade
Kerkrade is a town in the southeastern Netherlands, near the German border, known for its mining history and the international music festival WMC Kerkrade.
-
D.
Waregem
Waregem is a city in the Belgian province of West Flanders, known for its historical World War I sites and equestrian traditions.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02f04ab008190a4c98a8f00ec4c20 |
completed | April 3, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:10 p.m.