Triple
T3472564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcheren |
E73296
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
|
E649763
|
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: Grijpskerke | Statement: [Walcheren, contains, Grijpskerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grijpskerke Context triple: [Walcheren, contains, Grijpskerke]
-
A.
Oldekerk
Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
-
B.
Kleverskerke
Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
-
C.
Hoedekenskerke
Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
-
D.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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: Grijpskerke Triple: [Walcheren, contains, Grijpskerke]
Generated description
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grijpskerke Target entity description: Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
A.
Oldekerk
Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
-
B.
Kleverskerke
Kleverskerke is a small village in the Dutch province of Zeeland, located in the southwestern Netherlands.
-
C.
Hoedekenskerke
Hoedekenskerke is a small village in the Dutch province of Zeeland, known for its rural character and location along the Western Scheldt.
-
D.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3cc8488190b97c732e3f600a90 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cb9f421081908b9df22decae8923 |
completed | March 28, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69c7ccafd63c81908e5eab61ed615180 |
completed | March 28, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd9966e481909eb3c23bb59777d9 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 8, 2026, 3:17 p.m.