Triple
T2032350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonne |
E44545
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Clamecy |
E176492
|
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: Clamecy | Statement: [Yonne, passesThrough, Clamecy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clamecy Context triple: [Yonne, passesThrough, Clamecy]
-
A.
Clamecy
chosen
Clamecy is a historic commune in central France known for its medieval architecture and former timber-floating industry along the Yonne River.
-
B.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
C.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
-
D.
Audun-le-Tiche
Audun-le-Tiche is a commune in northeastern France’s Moselle department, known for its industrial past and location near the borders with Luxembourg and Belgium.
-
E.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0b02123c819094d3dc9a7c5c267a |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.