Triple
T12434590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison de Balzac |
E297111
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Passy, Paris |
E419244
|
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: Passy, Paris | Statement: [Maison de Balzac, locatedIn, Passy, Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passy, Paris Context triple: [Maison de Balzac, locatedIn, Passy, Paris]
-
A.
Passy
Passy is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro and the Seine.
-
B.
Passy
Passy is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its Alpine setting near Mont Blanc.
-
C.
Passy (quarter of Paris)
chosen
Passy is an affluent residential neighborhood in Paris's 16th arrondissement, known for its elegant streets, upscale shops, and views over the Seine and the Eiffel Tower.
-
D.
Fontenay-aux-Roses, France
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, known for its residential character and proximity to major academic and research institutions.
-
E.
Fontenay-en-Parisis
Fontenay-en-Parisis is a small commune in the Val-d'Oise department in the Île-de-France region of northern 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349f0f34819080e7d7f83f7baece |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.