Triple
T3056924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Utrecht |
E60503
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
|
E328078
|
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: Woudenberg | Statement: [Province of Utrecht, containsAdministrativeTerritorialEntity, Woudenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woudenberg Context triple: [Province of Utrecht, containsAdministrativeTerritorialEntity, Woudenberg]
-
A.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
B.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
C.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
D.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
E.
Nijmegen Hunerberg
Nijmegen Hunerberg is an archaeological site in the Dutch city of Nijmegen known for remains of the Roman military camp and settlement associated with Ulpia Noviomagus Batavorum.
- 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: Woudenberg Triple: [Province of Utrecht, containsAdministrativeTerritorialEntity, Woudenberg]
Generated description
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woudenberg Target entity description: Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
A.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
B.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
C.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
D.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
E.
Nijmegen Hunerberg
Nijmegen Hunerberg is an archaeological site in the Dutch city of Nijmegen known for remains of the Roman military camp and settlement associated with Ulpia Noviomagus Batavorum.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2035055148190ad1cdd6374820e60 |
completed | March 12, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69b207593cb8819091203b3738fa69db |
completed | March 12, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2083329cc8190a88bfa39d7572317 |
completed | March 12, 2026, 12:26 a.m. |
Created at: March 8, 2026, 3:02 p.m.