Triple
T9443449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyne Cot Cemetery |
E227704
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Zonnebeke
Zonnebeke is a municipality in West Flanders, Belgium, known for its significant World War I battlefields and memorials.
|
E801093
|
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: Zonnebeke | Statement: [Tyne Cot Cemetery, locatedIn, Zonnebeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zonnebeke Context triple: [Tyne Cot Cemetery, locatedIn, Zonnebeke]
-
A.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
B.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
C.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
D.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
E.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
- 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: Zonnebeke Triple: [Tyne Cot Cemetery, locatedIn, Zonnebeke]
Generated description
Zonnebeke is a municipality in West Flanders, Belgium, known for its significant World War I battlefields and memorials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zonnebeke Target entity description: Zonnebeke is a municipality in West Flanders, Belgium, known for its significant World War I battlefields and memorials.
-
A.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
B.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
C.
Borsbeek
Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
D.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
E.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f3171248190b92ab990371e63f5 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1225df53c819091b64f8cda159ae9 |
completed | April 4, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69d12423e63081909454b662fd6b4fdd |
completed | April 4, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d124b731e08190bfeb27889b05de10 |
completed | April 4, 2026, 2:48 p.m. |
Created at: March 30, 2026, 7:51 p.m.