Triple
T10516211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horace Bénédict de Saussure |
E248040
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Conches |
E248040
|
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: Conches | Statement: [Horace Bénédict de Saussure, birthPlace, Conches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conches Context triple: [Horace Bénédict de Saussure, birthPlace, Conches]
-
A.
Conches
chosen
Conches is a locality near Geneva, Switzerland, known historically as the birthplace of the pioneering Alpine scientist Horace Bénédict de Saussure.
-
B.
Bouchles
Bouchles is the birth surname of former U.S. Senator Olympia Snowe, a prominent American Republican politician from Maine.
-
C.
Coconnas
Coconnas is a central fictional character in Alexandre Dumas’s historical novel "Queen Margot," known for his fiery temperament and involvement in the turbulent events of the French Wars of Religion.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Bondues
Bondues is a suburban commune in northern France, situated near Lille and known for its residential character and historical World War II memorial sites.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dfbd364819087c70d3b3580eb7a |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.