Triple
T7064029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian coastal tram line |
E164298
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
De Panne
De Panne is a Belgian seaside resort town on the North Sea coast, known for its beaches, dunes, and as the westernmost point of Belgium.
|
E638512
|
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: De Panne | Statement: [Belgian coastal tram line, terminus, De Panne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Panne Context triple: [Belgian coastal tram line, terminus, De Panne]
-
A.
Veurne
Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
-
B.
Gavere
Gavere is a municipality in the Belgian province of East Flanders, known for its rural character and several constituent villages.
-
C.
Oosterdiep
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
-
D.
Reitdiep
Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
-
E.
Brielse Meer
Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
- 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: De Panne Triple: [Belgian coastal tram line, terminus, De Panne]
Generated description
De Panne is a Belgian seaside resort town on the North Sea coast, known for its beaches, dunes, and as the westernmost point of Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Panne Target entity description: De Panne is a Belgian seaside resort town on the North Sea coast, known for its beaches, dunes, and as the westernmost point of Belgium.
-
A.
Veurne
Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
-
B.
Gavere
Gavere is a municipality in the Belgian province of East Flanders, known for its rural character and several constituent villages.
-
C.
Oosterdiep
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
-
D.
Reitdiep
Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
-
E.
Brielse Meer
Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e45e80e08190bb1a79a6026d2cd5 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788ba7af88190aeaf3205255af8ad |
completed | March 28, 2026, 7:52 a.m. |
| NEDg | Description generation | batch_69c7892a387c8190856eac695fbcfb02 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789bc4fa081908cf40ec8ff189b90 |
completed | March 28, 2026, 7:56 a.m. |
Created at: March 27, 2026, 2:38 p.m.