Triple
T13971442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boissière |
E336072
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rue Boissière |
—
|
NE NERFINISHED |
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 Boissière | Statement: [Boissière, namedAfter, Rue Boissière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Boissière Context triple: [Boissière, namedAfter, Rue Boissière]
-
A.
Rue Boissière
chosen
Rue Boissière is a street in Paris, France, situated in the 16th arrondissement near several notable landmarks and cultural institutions.
-
B.
Rue Santeuil
Rue Santeuil is a street in Nantes, France, known for hosting the historic Passage Pommeraye shopping arcade.
-
C.
Rue Amelot
Rue Amelot is a street in Paris, France, known for hosting the historic Cirque d’Hiver and lying in the lively 11th arrondissement.
-
D.
Rue Bobillot
Rue Bobillot is a street in Paris, France, located in the 13th arrondissement and known for its shops, cafés, and proximity to Place d’Italie.
-
E.
Rue Mouton-Duvernet
Rue Mouton-Duvernet is a street in Paris, France, located in the 14th arrondissement and served by the Mouton-Duvernet metro station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
Created at: April 9, 2026, 10:18 p.m.