Triple
T4045457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berg en Dal |
E84054
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kekerdom
Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
|
E408455
|
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: Kekerdom | Statement: [Berg en Dal, contains, Kekerdom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kekerdom Context triple: [Berg en Dal, contains, Kekerdom]
-
A.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
-
B.
Sweffling
Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
-
C.
Kukarka
Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
-
D.
Great Cackler
The Great Cackler is an epithet of the Egyptian earth god Geb, highlighting his association with the goose and his role in creation and fertility.
-
E.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
- 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: Kekerdom Triple: [Berg en Dal, contains, Kekerdom]
Generated description
Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kekerdom Target entity description: Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
-
A.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
-
B.
Sweffling
Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
-
C.
Kukarka
Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
-
D.
Great Cackler
The Great Cackler is an epithet of the Egyptian earth god Geb, highlighting his association with the goose and his role in creation and fertility.
-
E.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556fec4708190b221893ec35f1a38 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557f73cbc8190b904089ab0fa97d6 |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.