Triple
T5030240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overloon |
E113279
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Venray
Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
|
E740260
|
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: Venray | Statement: [Overloon, locatedNear, Venray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venray Context triple: [Overloon, locatedNear, Venray]
-
A.
Coevorden
Coevorden is a historic city and municipality in the northeastern Netherlands, known for its medieval fortress layout and strategic location near the German border.
-
B.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
-
C.
Roermond
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
-
D.
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.
-
E.
Bedum
Bedum is a former municipality and village in the province of Groningen in the Netherlands, now part of the larger municipality of Het Hogeland.
- 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: Venray Triple: [Overloon, locatedNear, Venray]
Generated description
Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venray Target entity description: Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
-
A.
Coevorden
Coevorden is a historic city and municipality in the northeastern Netherlands, known for its medieval fortress layout and strategic location near the German border.
-
B.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
-
C.
Roermond
Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
-
D.
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.
-
E.
Bedum
Bedum is a former municipality and village in the province of Groningen in the Netherlands, now part of the larger municipality of Het Hogeland.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6c7d795081909fc85cc99e11c971 |
completed | April 2, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ce6e66c5e48190badcc5e075892006 |
completed | April 2, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f0cc434819089e78d24dfee5361 |
completed | April 2, 2026, 1:28 p.m. |
Created at: March 20, 2026, 1:36 p.m.