Triple
T4120623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ypres |
E92602
|
entity |
| Predicate | hasFrenchName |
P744
|
FINISHED |
| Object | 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: Ypres | Statement: [Ypres, hasFrenchName, Ypres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ypres Context triple: [Ypres, hasFrenchName, 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.
Yser Front
The Yser Front was a key World War I defensive line in western Belgium where Belgian forces halted the German advance along the Yser River.
-
D.
St. Vith
St. Vith is a town in eastern Belgium that became a strategically important battleground during World War II, particularly noted for its role in the Battle of the Bulge.
-
E.
Delville Wood
Delville Wood is a forest on the Somme in northern France that was the site of intense fighting during the Battle of the Somme in World War I, particularly noted for the heavy losses suffered by South African troops.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0203b8c88190b08dd64800a37168 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576ae8ef08190ba2adcbd2bbe8d35 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.