Triple
T17624560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Lepic |
E429803
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Place Blanche |
—
|
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: Place Blanche | Statement: [Rue Lepic, connects, Place Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Blanche Context triple: [Rue Lepic, connects, Place Blanche]
-
A.
Place Blanche
chosen
Place Blanche is a well-known square in Paris’s Montmartre district, recognized as a lively hub near the Moulin Rouge and a gateway to the neighborhood’s nightlife.
-
B.
Maison Blanche
Maison Blanche is a Paris Métro station in the 13th arrondissement, serving as a stop on the city's Line 7.
-
C.
La Blancarde
La Blancarde is a neighborhood and transport hub in Marseille, France, known for its railway and metro station connecting the city’s eastern districts.
-
D.
La Sablonière
La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
-
E.
Folle Blanche
Folle Blanche is a traditional French white grape variety historically prized in Armagnac and Cognac production for its high acidity and delicate, floral spirits.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbb2a348190982658d495c81da0 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:52 a.m.