Triple
T12116554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grootegast |
E288576
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Oldekerk
Oldekerk is a village in the Dutch province of Groningen, known as a small rural settlement that was formerly part of the municipality of Grootegast.
|
E527208
|
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: Oldekerk | Statement: [Grootegast, hasSettlement, Oldekerk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oldekerk Context triple: [Grootegast, hasSettlement, Oldekerk]
-
A.
Oldekerk
Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
-
B.
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Nieuwerkerk
Nieuwerkerk is a village in the Dutch province of Zeeland, located on the island and municipality of Schouwen-Duiveland.
-
D.
Bovenkerk
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
-
E.
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.
- 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: Oldekerk Triple: [Grootegast, hasSettlement, Oldekerk]
Generated description
Oldekerk is a village in the Dutch province of Groningen, known as a small rural settlement that was formerly part of the municipality of Grootegast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oldekerk Target entity description: Oldekerk is a village in the Dutch province of Groningen, known as a small rural settlement that was formerly part of the municipality of Grootegast.
-
A.
Oldekerk
chosen
Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
-
B.
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Nieuwerkerk
Nieuwerkerk is a village in the Dutch province of Zeeland, located on the island and municipality of Schouwen-Duiveland.
-
D.
Bovenkerk
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
-
E.
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.
- F. None of above.
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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034307ff088190874d6c00f2741400 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03445913088190b8662601da93a3ab |
completed | May 12, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034517f4148190864d916f4d1ef5ba |
completed | May 12, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.