Triple
T1067042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburg (Netherlands) |
E23233
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Roermond
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
|
E461071
|
NE FINISHED |
How this triple was built (4 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: Roermond | Statement: [Limburg (Netherlands), containsCity, Roermond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roermond Context triple: [Limburg (Netherlands), containsCity, Roermond]
-
A.
Venlo
Venlo is a historic city in the southeastern Netherlands, located near the German border on the river Meuse and known as a regional economic and logistics hub.
-
B.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
C.
Heerlen
Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
-
D.
Wijchen
Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
-
E.
Nijmegen
Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Roermond Triple: [Limburg (Netherlands), containsCity, Roermond]
Generated description
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roermond Target entity description: Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
-
A.
Venlo
Venlo is a historic city in the southeastern Netherlands, located near the German border on the river Meuse and known as a regional economic and logistics hub.
-
B.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
C.
Heerlen
Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
-
D.
Wijchen
Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
-
E.
Nijmegen
Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
- F. None of above. chosen
Provenance (5 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b911f06881908659cb85ba1e05e0 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0304964c81908893f85073cb626e |
completed | March 21, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69be05941ca08190b073c078dfb25429 |
completed | March 21, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05fb27788190bdbaba05fc0798e7 |
completed | March 21, 2026, 2:44 a.m. |
Created at: March 1, 2026, 7:42 p.m.