Triple
T2108044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hector Berlioz |
E42439
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | La Côte-Saint-André |
E235500
|
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: La Côte-Saint-André | Statement: [Hector Berlioz, placeOfBirth, La Côte-Saint-André]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Côte-Saint-André Context triple: [Hector Berlioz, placeOfBirth, La Côte-Saint-André]
-
A.
La Côte-Saint-André
chosen
La Côte-Saint-André is a commune in southeastern France known as the birthplace of composer Hector Berlioz and the place where painter Johan Barthold Jongkind died.
-
B.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
C.
La Croix-Valmer
La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
L’Isle-sur-la-Sorgue
L’Isle-sur-la-Sorgue is a picturesque Provençal town in southeastern France renowned for its canals, antique markets, and historic waterwheels.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae03f308190841f5a419bb821f6 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95efea5c8190a8a63e36cf3247e7 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:43 p.m.