Triple
T16114795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super universas |
E390974
|
entity |
| Predicate | concerns |
P1256
|
FINISHED |
| Object | city of Ypres |
E92602
|
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: city of Ypres | Statement: [Super universas, concerns, city of Ypres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Ypres Context triple: [Super universas, concerns, city of Ypres]
-
A.
Ypres
chosen
Ypres is a historic town in western Belgium that was the site of several major and devastating battles during World War I.
-
B.
Armentières
Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
-
C.
Fromelles, France
Fromelles, France is a small village in northern France best known as the site of a devastating World War I battle involving British and Australian forces.
-
D.
Vimy, France
Vimy, France is a commune in northern France best known as the site of the Canadian National Vimy Memorial commemorating World War I.
-
E.
arrondissement of Ypres
The arrondissement of Ypres is an administrative district in the Belgian province of West Flanders, centered on the historic city of Ypres and encompassing the surrounding municipalities.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20169ce488190bbc814f23a3b7547 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a44cb48190abe3b1ea27349734 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.