Triple
T10839753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du Panthéon |
E255853
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Rue des Carmes |
E384478
|
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: Rue des Carmes | Statement: [Place du Panthéon, hasStreet, Rue des Carmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue des Carmes Context triple: [Place du Panthéon, hasStreet, Rue des Carmes]
-
A.
Rue des Carmes
chosen
Rue des Carmes is a historic street in central Paris known for its proximity to the Latin Quarter’s universities, churches, and traditional Parisian architecture.
-
B.
Rue des Capucines
Rue des Capucines is a historic Parisian street in the 1st arrondissement, known for its elegant architecture and proximity to major landmarks such as the Opéra Garnier and Place Vendôme.
-
C.
Rue de la Gaîté
Rue de la Gaîté is a lively Parisian street in the Montparnasse district, known for its theaters, cafés, and vibrant nightlife.
-
D.
Rue Lepic
Rue Lepic is a historic, winding street in Paris’s Montmartre district, known for its cafés, artistic heritage, and views over the city.
-
E.
Rue de la Huchette
Rue de la Huchette is a narrow, historic street in Paris’s Latin Quarter known for its lively restaurants, tourist shops, and traditional Parisian atmosphere.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7470204548190ba0c724dd9367712 |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e2991c81908f474fe07a6ba10a |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 8, 2026, 9:19 p.m.