Triple
T7547762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diksmuide |
E178449
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Yser Tower |
E638510
|
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: Yser Tower | Statement: [Diksmuide, hasLandmark, Yser Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yser Tower Context triple: [Diksmuide, hasLandmark, Yser Tower]
-
A.
Yser Tower
chosen
Yser Tower is a prominent World War I memorial and peace monument in Diksmuide, Belgium, commemorating the Belgian soldiers who fell along the Yser Front.
-
B.
Ypres Tower
Ypres Tower is a historic medieval fortification in the town of Rye, England, that has served variously as a defensive structure, prison, and now a museum.
-
C.
Munt Tower
Munt Tower is a historic clock tower in central Amsterdam, Netherlands, originally part of the city’s medieval fortifications and now a notable architectural landmark.
-
D.
Sauvabelin Tower
Sauvabelin Tower is a wooden observation tower in Lausanne, Switzerland, known for its panoramic views over the city, Lake Geneva, and the surrounding Alps.
-
E.
Solvay Castle
Solvay Castle is a historic château in La Hulpe, Belgium, known for its picturesque architecture and surrounding parkland.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89a7b2c8190b2ca57edbb4f0390 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856bb83b88190947c0efed84b891a |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.