Triple
T8706126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow at Louveciennes |
E206654
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | Louveciennes |
E314672
|
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: Louveciennes | Statement: [Snow at Louveciennes, depicts, Louveciennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louveciennes Context triple: [Snow at Louveciennes, depicts, Louveciennes]
-
A.
Louveciennes
chosen
Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
-
B.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
C.
Draveil
Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
-
D.
Villeparisis
Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
-
E.
Étrépilly
Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
- 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_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 6:35 p.m.