Triple
T10473089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koksijde |
E246975
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Kusttram |
E638514
|
NE FINISHED |
How this triple was built (2 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: Kusttram | Statement: [Koksijde, hasTransport, Kusttram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kusttram Context triple: [Koksijde, hasTransport, Kusttram]
-
A.
Kusttram
chosen
Kusttram is a Belgian coastal tram service that runs the length of the country’s North Sea shoreline, connecting numerous seaside towns and resorts.
-
B.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
C.
Krempna
Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
-
D.
Kamionna
Kamionna is a village located in the Beskid Wyspowy mountain range in southern Poland, known for its scenic, hilly landscape.
-
E.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0140f4c81908ce95b28e09cb04b |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.