Triple
T2831544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Mitterrand |
E62247
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Jarnac |
E61808
|
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: Jarnac | Statement: [Danielle Mitterrand, burialPlace, Jarnac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarnac Context triple: [Danielle Mitterrand, burialPlace, Jarnac]
-
A.
Jarnac
chosen
Jarnac is a small town in southwestern France, known for its location on the Charente River and as the birthplace of former French president François Mitterrand.
-
B.
Clamecy
Clamecy is a historic commune in central France known for its medieval architecture and former timber-floating industry along the Yonne River.
-
C.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
D.
Hoschedé
Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
-
E.
Troizen
Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 10:01 p.m.