Triple
T8706045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Sisley |
E206651
|
entity |
| Predicate | livedIn |
P75
|
FINISHED |
| Object | Moret-sur-Loing |
E322450
|
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: Moret-sur-Loing | Statement: [Alfred Sisley, livedIn, Moret-sur-Loing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moret-sur-Loing Context triple: [Alfred Sisley, livedIn, Moret-sur-Loing]
-
A.
Moret-sur-Loing
chosen
Moret-sur-Loing is a picturesque historic town in north-central France, known for its medieval architecture and riverside scenery that inspired many Impressionist painters.
-
B.
Crosne
Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
-
C.
Bar-sur-Seine
Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
-
D.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
E.
Vaires-sur-Marne
Vaires-sur-Marne is a commune in the Seine-et-Marne department in north-central France, located east of Paris along the Marne River.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fcac748190a82b57aeb7c43df9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd070ca0c819092b98a7aa079c33c |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:35 p.m.