Triple
T19033511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmedy massacre memorial at Baugnez |
E465804
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baugnez |
—
|
NE NERFINISHED |
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: Baugnez | Statement: [Malmedy massacre memorial at Baugnez, locatedIn, Baugnez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baugnez Context triple: [Malmedy massacre memorial at Baugnez, locatedIn, Baugnez]
-
A.
Baugnez
chosen
Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
-
B.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
C.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
D.
Bertogne
Bertogne is a rural municipality in the Luxembourg province of Wallonia in southeastern Belgium.
-
E.
Seytroux
Seytroux is a small mountain village and commune in the Haute-Savoie department of southeastern France, situated in the Chablais region of the French Alps.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.