Triple
T4259667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Épernay |
E96071
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Middelkerke
Middelkerke is a Belgian coastal municipality and seaside resort town on the North Sea, known for its beaches and tourism.
|
E427461
|
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: Middelkerke | Statement: [Épernay, hasTwinTown, Middelkerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middelkerke Context triple: [Épernay, hasTwinTown, Middelkerke]
-
A.
Koudekerke
Koudekerke is a village in the Dutch province of Zeeland, located near the North Sea coast on the former island of Walcheren.
-
B.
Biggekerke
Biggekerke is a small village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Kortrijk
Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
-
D.
Duinkerke
Duinkerke is the Dutch name for Dunkirk, a historic port city in northern France known for its pivotal World War II evacuation.
-
E.
Machelen
Machelen is a municipality in the Belgian province of Flemish Brabant, located just northeast of Brussels and known for its mix of residential areas and business zones near the capital.
- 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: Middelkerke Triple: [Épernay, hasTwinTown, Middelkerke]
Generated description
Middelkerke is a Belgian coastal municipality and seaside resort town on the North Sea, known for its beaches and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Middelkerke Target entity description: Middelkerke is a Belgian coastal municipality and seaside resort town on the North Sea, known for its beaches and tourism.
-
A.
Koudekerke
Koudekerke is a village in the Dutch province of Zeeland, located near the North Sea coast on the former island of Walcheren.
-
B.
Biggekerke
Biggekerke is a small village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Kortrijk
Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
-
D.
Duinkerke
Duinkerke is the Dutch name for Dunkirk, a historic port city in northern France known for its pivotal World War II evacuation.
-
E.
Machelen
Machelen is a municipality in the Belgian province of Flemish Brabant, located just northeast of Brussels and known for its mix of residential areas and business zones near the capital.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78825508190b2b6ca46c8e1b27c |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b84b58a081909618d0c108317f92 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8be90c88190a4852c625e326f6b |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.