Triple
T9949070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligny stream |
E195281
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Sombreffe |
E195283
|
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: Sombreffe | Statement: [Ligny stream, near, Sombreffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sombreffe Context triple: [Ligny stream, near, Sombreffe]
-
A.
Sombreffe
chosen
Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
-
B.
Damphreux
Damphreux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Blaquiere
Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
-
D.
Cloux
Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
-
E.
Vilaine
The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292b50a881909ff868487639fbfd |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.