Triple
T8522931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Léopold Clément Marie Meinrad |
E201736
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Marche-les-Dames |
E279019
|
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: Marche-les-Dames | Statement: [Albert Léopold Clément Marie Meinrad, placeOfDeath, Marche-les-Dames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marche-les-Dames Context triple: [Albert Léopold Clément Marie Meinrad, placeOfDeath, Marche-les-Dames]
-
A.
Marche-les-Dames
chosen
Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
-
B.
Saint-Mard
Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
-
C.
Saint-Mesmes
Saint-Mesmes is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
D.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64215408190b45f462a32d3471d |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab25d88481909ad55dc3d2044d09 |
completed | April 3, 2026, 11:57 a.m. |
Created at: March 30, 2026, 6:16 p.m.