Triple
T10647211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emer de Vattel |
E250864
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Couvet |
E289316
|
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: Couvet | Statement: [Emer de Vattel, placeOfBirth, Couvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couvet Context triple: [Emer de Vattel, placeOfBirth, Couvet]
-
A.
Couvet
chosen
Couvet is a village in the Val-de-Travers district of the canton of Neuchâtel in western Switzerland, known historically as the birthplace of the jurist Emer de Vattel.
-
B.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
C.
Charigot
Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
-
D.
Thoiry
Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe1cd6081909df9e4dc0fda1f0b |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37382a0bc81908938b3cbdf0528e0 |
completed | April 18, 2026, 12:05 p.m. |
Created at: April 8, 2026, 9:05 p.m.