Triple
T14273257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijfheerenlanden |
E353846
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Meerkerk
Meerkerk is a village in the Dutch province of Utrecht, known as a small rural settlement within the municipality of Vijfheerenlanden.
|
E1105404
|
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: Meerkerk | Statement: [Vijfheerenlanden, containsSettlement, Meerkerk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meerkerk Context triple: [Vijfheerenlanden, containsSettlement, Meerkerk]
-
A.
Ridderkerk
Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
-
B.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
C.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
D.
Heemskerk
Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
-
E.
Menterwolde
Menterwolde was a former municipality in the province of Groningen in the Netherlands that later became part of the municipality of Midden-Groningen.
- 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: Meerkerk Triple: [Vijfheerenlanden, containsSettlement, Meerkerk]
Generated description
Meerkerk is a village in the Dutch province of Utrecht, known as a small rural settlement within the municipality of Vijfheerenlanden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meerkerk Target entity description: Meerkerk is a village in the Dutch province of Utrecht, known as a small rural settlement within the municipality of Vijfheerenlanden.
-
A.
Ridderkerk
Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
-
B.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
C.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
D.
Heemskerk
Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
-
E.
Menterwolde
Menterwolde was a former municipality in the province of Groningen in the Netherlands that later became part of the municipality of Midden-Groningen.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a31ef388190bc3082abc1c25ff4 |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7cac286c8190a87bbcd3b7d4d3ac |
completed | May 8, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7d24601c8190a95567703123e33b |
completed | May 8, 2026, 6:05 a.m. |
Created at: April 10, 2026, 1:10 a.m.