Triple
T9488296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresnes |
E228817
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | L'Haÿ-les-Roses |
E774970
|
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: L'Haÿ-les-Roses | Statement: [Fresnes, nearbyCity, L'Haÿ-les-Roses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L'Haÿ-les-Roses Context triple: [Fresnes, nearbyCity, L'Haÿ-les-Roses]
-
A.
L’Haÿ-les-Roses
chosen
L’Haÿ-les-Roses is a suburban commune in the southern outskirts of Paris, France, known for its historic rose garden and residential character.
-
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.
Fontenay-le-Comte
Fontenay-le-Comte is a historic town in western France known as an administrative and cultural center in the Vendée department.
-
D.
Saint-Germain-en-Laye
Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
-
E.
Reuilly
Reuilly is a French wine appellation in the Loire Valley known for its crisp Sauvignon Blanc, delicate Pinot Gris, and light, fruity Pinot Noir wines.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
Created at: March 30, 2026, 7:55 p.m.