Triple
T9721909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Meuse |
E235493
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Monthermé |
E346792
|
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: Monthermé | Statement: [Battle of the Meuse, location, Monthermé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monthermé Context triple: [Battle of the Meuse, location, Monthermé]
-
A.
Monthermé
chosen
Monthermé is a commune in northeastern France’s Ardennes department, known for its scenic setting at the confluence of forested valleys and winding rivers.
-
B.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
-
C.
Bouzeron
Bouzeron is a small appellation in Burgundy, France, particularly noted for producing distinctive white wines from the Aligoté grape.
-
D.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
E.
Berthier
Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e42ce948190b52791b27c4456dc |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc408b988190980db82fbd93e988 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:20 p.m.