Triple
T492544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Mitterrand |
E10220
|
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: [François Mitterrand, burialPlace, Jarnac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarnac Context triple: [François 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.
Rocherath
Rocherath is a village in eastern Belgium, close to the German border, known for its location near key World War II Battle of the Bulge sites.
-
C.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
D.
Taphus
Taphus was the original name of the town that later became Charlotte Amalie, the capital of the U.S. Virgin Islands.
-
E.
Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0faab4881909f65f172198b5bd2 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481ecd6e08190a091064a7a1d32c6 |
completed | March 1, 2026, 6:14 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.